1
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Zou Z, Peng Z, Bhusal D, Wije Munige S, Yang Z. MassLite: An integrated python platform for single cell mass spectrometry metabolomics data pretreatment with graphical user interface and advanced peak alignment method. Anal Chim Acta 2024; 1325:343124. [PMID: 39244309 DOI: 10.1016/j.aca.2024.343124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 08/07/2024] [Accepted: 08/18/2024] [Indexed: 09/09/2024]
Abstract
Mass spectrometry (MS) has been one of the most widely used tools for bioanalytical analysis due to its high sensitivity, capability of quantitative analysis, and compatibility with biomolecules. Among various MS techniques, single cell mass spectrometry (SCMS) is an advanced approach to molecular analysis of cellular contents in individual cells. In tandem with the creation of novel experimental techniques, the development of new SCMS data analysis tools is equally important. As most published software packages are not specifically designed for pretreatment of SCMS data, including peak alignment and background removal, their applicability on processing SCMS data is generally limited. Hereby we introduce a Python platform, MassLite, specifically designed for rapid SCMS metabolomics data pretreatment. This platform is made user-friendly with graphical user interface (GUI) and exports data in the forms of each individual cell for further analysis. A core function of this tool is to use a novel peak alignment method that avoids the intrinsic drawbacks of traditional binning method, allowing for more effective handling of MS data obtained from high resolution mass spectrometers. Other functions, such as void scan filtering, dynamic grouping, and advanced background removal, are also implemented in this tool to improve pretreatment efficiency.
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Affiliation(s)
- Zhu Zou
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
| | - Zongkai Peng
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
| | - Deepti Bhusal
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
| | - Shakya Wije Munige
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
| | - Zhibo Yang
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA.
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2
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Steinbach MK, Leipert J, Matzanke T, Tholey A. Digital Microfluidics for Sample Preparation in Low-Input Proteomics. SMALL METHODS 2024:e2400495. [PMID: 39205538 DOI: 10.1002/smtd.202400495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 08/16/2024] [Indexed: 09/04/2024]
Abstract
Low-input proteomics, also referred to as micro- or nanoproteomics, has become increasingly popular as it allows one to elucidate molecular processes in rare biological materials. A major prerequisite for the analytics of minute protein amounts, e.g., derived from low cell numbers, down to single cells, is the availability of efficient sample preparation methods. Digital microfluidics (DMF), a technology allowing the handling and manipulation of low liquid volumes, has recently been shown to be a powerful and versatile tool to address the challenges in low-input proteomics. Here, an overview is provided on recent advances in proteomics sample preparation using DMF. In particular, the capability of DMF to isolate proteomes from cells and small model organisms, and to perform all necessary chemical sample preparation steps, such as protein denaturation and proteolytic digestion on-chip, are highlighted. Additionally, major prerequisites to making these steps compatible with follow-up analytical methods such as liquid chromatography-mass spectrometry will be discussed.
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Affiliation(s)
- Max K Steinbach
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105, Kiel, Germany
| | - Jan Leipert
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105, Kiel, Germany
| | - Theo Matzanke
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105, Kiel, Germany
| | - Andreas Tholey
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105, Kiel, Germany
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3
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Iwamoto-Stohl LK, Petelski AA, Meglicki M, Fu A, Khan S, Specht H, Huffman G, Derks J, Jorgensen V, Weatherbee BAT, Weberling A, Gantner CW, Mandelbaum RS, Paulson RJ, Lam L, Ahmady A, Vasquez ES, Slavov N, Zernicka-Goetz M. Proteome asymmetry in mouse and human embryos before fate specification. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.26.609777. [PMID: 39253500 PMCID: PMC11383291 DOI: 10.1101/2024.08.26.609777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/11/2024]
Abstract
Pre-patterning of the embryo, driven by spatially localized factors, is a common feature across several non-mammalian species 1-4 . However, mammals display regulative development and thus it was thought that blastomeres of the embryo do not show such pre-patterning, contributing randomly to the three lineages of the blastocyst: the epiblast, primitive endoderm and trophectoderm that will generate the new organism, the yolk sac and placenta respectively 4-6 . Unexpectedly, early blastomeres of mouse and human embryos have been reported to have distinct developmental fates, potential and heterogeneous abundance of certain transcripts 7-12 . Nevertheless, the extent of the earliest intra-embryo differences remains unclear and controversial. Here, by utilizing multiplexed and label-free single-cell proteomics by mass-spectrometry 13 , we show that 2-cell mouse and human embryos contain an alpha and a beta blastomere as defined by differential abundance of hundreds of proteins exhibiting strong functional enrichment for protein synthesis, transport, and degradation. Such asymmetrically distributed proteins include Gps1 and Nedd8, depletion or overexpression of which in one blastomere of the 2-cell embryo impacts lineage segregation. These protein asymmetries increase at 4-cell stage. Intriguingly, halved mouse zygotes display asymmetric protein abundance that resembles alpha and beta blastomeres, suggesting differential proteome localization already within zygotes. We find that beta blastomeres give rise to a blastocyst with a higher proportion of epiblast cells than alpha blastomeres and that vegetal blastomeres, which are known to have a reduced developmental potential, are more likely to be alpha. Human 2-cell blastomeres also partition into two clusters sharing strong concordance with clusters found in mouse, in terms of differentially abundant proteins and functional enrichment. To our knowledge, this is the first demonstration of intra-zygotic and inter-blastomere proteomic asymmetry in mammals that has a role in lineage segregation.
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4
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Tan J, Li Y, Li X, Zhu X, Liu L, Huang H, Wei J, Wang H, Tian Y, Wang Z, Zhang Z, Zhu B. Pramel15 facilitates zygotic nuclear DNMT1 degradation and DNA demethylation. Nat Commun 2024; 15:7310. [PMID: 39181896 PMCID: PMC11344788 DOI: 10.1038/s41467-024-51614-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 08/13/2024] [Indexed: 08/27/2024] Open
Abstract
In mammals, global passive demethylation contributes to epigenetic reprogramming during early embryonic development. At this stage, the majority of DNA-methyltransferase 1 (DNMT1) protein is excluded from nucleus, which is considered the primary cause. However, whether the remaining nuclear activity of DNMT1 is regulated by additional mechanisms is unclear. Here, we report that nuclear DNMT1 abundance is finetuned through proteasomal degradation in mouse zygotes. We identify a maternal factor, Pramel15, which targets DNMT1 for degradation via Cullin-RING E3 ligases. Loss of Pramel15 elevates DNMT1 levels in the zygote pronuclei, impairs zygotic DNA demethylation, and causes a stochastic gain of DNA methylation in early embryos. Thus, Pramel15 can modulate the residual level of DNMT1 in the nucleus during zygotic DNA replication, thereby ensuring efficient DNA methylation reprogramming in early embryos.
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Affiliation(s)
- Jiajun Tan
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Epigenetic Regulation and Intervention, Chinese Academy of Sciences, Beijing, China
- New Cornerstone Science Laboratory, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yingfeng Li
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Epigenetic Regulation and Intervention, Chinese Academy of Sciences, Beijing, China
- New Cornerstone Science Laboratory, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Xiang Li
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Xiaoxiao Zhu
- Key Laboratory of Epigenetic Regulation and Intervention, Chinese Academy of Sciences, Beijing, China
| | - Liping Liu
- Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Hua Huang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
| | - Jiahua Wei
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Epigenetic Regulation and Intervention, Chinese Academy of Sciences, Beijing, China
- New Cornerstone Science Laboratory, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Hailing Wang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
| | - Yong Tian
- Key Laboratory of Epigenetic Regulation and Intervention, Chinese Academy of Sciences, Beijing, China
| | - Zhigao Wang
- Center for Regenerative Medicine, Heart Institute, Department of Internal Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Zhuqiang Zhang
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
- Key Laboratory of Epigenetic Regulation and Intervention, Chinese Academy of Sciences, Beijing, China.
- New Cornerstone Science Laboratory, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
| | - Bing Zhu
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
- Key Laboratory of Epigenetic Regulation and Intervention, Chinese Academy of Sciences, Beijing, China.
- New Cornerstone Science Laboratory, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
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5
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Jueraitetibaike K, Tang T, Ma R, Zhao S, Wu R, Yang Y, Huang X, Cheng X, Zhou C, Zhang H, Zheng L, Ge X, Chen L, Yao B. MiR-425-5p suppression of Crebzf regulates oocyte aging via chromatin modification. GeroScience 2024; 46:3723-3742. [PMID: 37532927 PMCID: PMC11226420 DOI: 10.1007/s11357-023-00875-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 07/12/2023] [Indexed: 08/04/2023] Open
Abstract
Female infertility due to declining oocyte quality with age remains a significant challenge for patients and physicians, despite extensive research efforts. Recent studies suggest that microRNAs (miRNAs), which respond to various stressors in the aging process, may provide a promising solution. With the approval of small RNA drugs for clinical use, miRNA-based treatment of oocyte aging appears to be a viable option. Through high-throughput sequencing, miR-425-5p was identified as the only miRNA elevated under natural aging and oxidative stress. Microinjection of inhibitors to inhibit miR-425-5p effectively improved compromised phenotypes of old oocytes in vitro. Further investigation revealed that Crebzf acts as a mediator of miR-425-5p's age-related functions in old oocytes. In vivo treatment with miR-425-5p antagomirs significantly improved impaired oocyte development in reproductively old females by targeting Crebzf. Single-cell RNA sequencing revealed that Crebzf plays a vital role in regulating mRNAs targeting histone H3, trimethylated lysine 4 (H3K4me3), a crucial marker for transcriptional silencing. Overexpression of miR-425-5p could hinder oocyte maturation by downregulating Crebzf expression and disrupting transcriptional regulation. Our findings provide new insights into the potential of miR-425-5p antagomirs as a treatment for female infertility and highlight an elegant mechanism by which miR-425-5p inhibition of Crebzf inhibits a developmental switch in GV oocytes by regulating a group of histone methyltransferase mRNAs.
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Affiliation(s)
- Kadiliya Jueraitetibaike
- Department of Reproductive Medicine, Nanjing Jinling Hospital: East Region Military Command General Hospital, Medical School of Nanjing University, Nanjing, 210002, People's Republic of China
| | - Ting Tang
- Department of Reproductive Medicine, Nanjing Jinling Hospital: East Region Military Command General Hospital, Medical School of Nanjing University, Nanjing, 210002, People's Republic of China
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, People's Republic of China
| | - Rujun Ma
- Department of Reproductive Medicine, Nanjing Jinling Hospital: East Region Military Command General Hospital, Medical School of Nanjing University, Nanjing, 210002, People's Republic of China
| | - Shanmeizi Zhao
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing, 210002, People's Republic of China
| | - Ronghua Wu
- Department of Reproductive Medicine, Nanjing Jinling Hospital: East Region Military Command General Hospital, Medical School of Nanjing University, Nanjing, 210002, People's Republic of China
| | - Yang Yang
- Basic Medical Laboratory, Institute of Clinical Laboratory Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, People's Republic of China
| | - Xuan Huang
- Department of Reproductive Medicine, Nanjing Jinling Hospital: East Region Military Command General Hospital, Medical School of Nanjing University, Nanjing, 210002, People's Republic of China
| | - Xi Cheng
- Department of Reproductive Medicine, Nanjing Jinling Hospital: East Region Military Command General Hospital, Medical School of Nanjing University, Nanjing, 210002, People's Republic of China
| | - Cheng Zhou
- Department of Reproductive Medicine, Nanjing Jinling Hospital: East Region Military Command General Hospital, Medical School of Nanjing University, Nanjing, 210002, People's Republic of China
| | - Hong Zhang
- Department of Reproductive Medicine, Nanjing Jinling Hospital: East Region Military Command General Hospital, Medical School of Nanjing University, Nanjing, 210002, People's Republic of China
| | - Lu Zheng
- Department of Reproductive Medicine, Nanjing Jinling Hospital: East Region Military Command General Hospital, Medical School of Nanjing University, Nanjing, 210002, People's Republic of China
| | - Xie Ge
- Department of Reproductive Medicine, Nanjing Jinling Hospital: East Region Military Command General Hospital, Medical School of Nanjing University, Nanjing, 210002, People's Republic of China
| | - Li Chen
- Department of Reproductive Medicine, Nanjing Jinling Hospital: East Region Military Command General Hospital, Medical School of Nanjing University, Nanjing, 210002, People's Republic of China.
| | - Bing Yao
- Department of Reproductive Medicine, Nanjing Jinling Hospital: East Region Military Command General Hospital, Medical School of Nanjing University, Nanjing, 210002, People's Republic of China.
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, People's Republic of China.
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6
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Galatidou S, Petelski AA, Pujol A, Lattes K, Latorraca LB, Fair T, Popovic M, Vassena R, Slavov N, Barragán M. Single-cell proteomics reveals decreased abundance of proteostasis and meiosis proteins in advanced maternal age oocytes. Mol Hum Reprod 2024; 30:gaae023. [PMID: 38870523 DOI: 10.1093/molehr/gaae023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 05/28/2024] [Indexed: 06/15/2024] Open
Abstract
Advanced maternal age is associated with a decline in oocyte quality, which often leads to reproductive failure in humans. However, the mechanisms behind this age-related decline remain unclear. To gain insights into this phenomenon, we applied plexDIA, a multiplexed data-independent acquisition, single-cell mass spectrometry method, to analyze the proteome of oocytes from both young women and women of advanced maternal age. Our findings primarily revealed distinct proteomic profiles between immature fully grown germinal vesicle and mature metaphase II oocytes. Importantly, we further show that a woman's age is associated with changes in her oocyte proteome. Specifically, when compared to oocytes obtained from young women, advanced maternal age oocytes exhibited lower levels of the proteasome and TRiC complex, as well as other key regulators of proteostasis and meiosis. This suggests that aging adversely affects the proteostasis and meiosis networks in human oocytes. The proteins identified in this study hold potential as targets for improving oocyte quality and may guide future studies into the molecular processes underlying oocyte aging.
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Affiliation(s)
- Styliani Galatidou
- Research and Development, EUGIN Group, Barcelona, Spain
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Aleksandra A Petelski
- Department of Bioengineering, Single Cell Proteomics Center and Barnett Institute, Northeastern University, Boston, MA, USA
| | | | | | - Lais B Latorraca
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Trudee Fair
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Mina Popovic
- Research and Development, EUGIN Group, Barcelona, Spain
| | - Rita Vassena
- Research and Development, EUGIN Group, Barcelona, Spain
| | - Nikolai Slavov
- Department of Bioengineering, Single Cell Proteomics Center and Barnett Institute, Northeastern University, Boston, MA, USA
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7
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Galatidou S, Petelski A, Pujol A, Lattes K, Latorraca LB, Fair T, Popovic M, Vassena R, Slavov N, Barragan M. Single-cell proteomics reveals decreased abundance of proteostasis and meiosis proteins in advanced maternal age oocytes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.23.595547. [PMID: 38903107 PMCID: PMC11188101 DOI: 10.1101/2024.05.23.595547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Abstract
Advanced maternal age is associated with a decline in oocyte quality, which often leads to reproductive failure in humans. However, the mechanisms behind this age-related decline remain unclear. To gain insights into this phenomenon, we applied plexDIA, a multiplexed, single-cell mass spectrometry method, to analyze the proteome of oocytes from both young women and women of advanced maternal age. Our findings primarily revealed distinct proteomic profiles between immature fully grown germinal vesicle and mature metaphase II oocytes. Importantly, we further show that a woman's age is associated with changes in her oocyte proteome. Specifically, when compared to oocytes obtained from young women, advanced maternal age oocytes exhibited lower levels of the proteasome and TRiC complex, as well as other key regulators of proteostasis and meiosis. This suggests that aging adversely affects the proteostasis and meiosis networks in human oocytes. The proteins identified in this study hold potential as targets for improving oocyte quality and may guide future studies into the molecular processes underlying oocyte aging.
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8
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Huo Z, Tu H, Ren J, Zhang X, Qi Y, Situ C, Li Y, Guo Y, Guo X, Zhu H. Lectin-Based SP3 Technology Enables N-Glycoproteomic Analysis of Mouse Oocytes. J Proteome Res 2024. [PMID: 38787631 DOI: 10.1021/acs.jproteome.4c00089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2024]
Abstract
N-glycosylation is one of the most universal and complex protein post-translational modifications (PTMs), and it is involved in many physiological and pathological activities. Owing to the low abundance of N-glycoproteins, enrichment of N-glycopeptides for mass spectrometry analysis usually requires a large amount of peptides. Additionally, oocyte protein N-glycosylation has not been systemically characterized due to the limited sample amount. Here, we developed a glycosylation enrichment method based on lectin and a single-pot, solid-phase-enhanced sample preparation (SP3) technology, termed lectin-based SP3 technology (LectinSP3). LectinSP3 immobilized lectin on the SP3 beads for N-glycopeptide enrichment. It could identify over 1100 N-glycosylation sites and 600 N-glycoproteins from 10 μg of mouse testis peptides. Furthermore, using the LectinSP3 method, we characterized the N-glycoproteome of 1000 mouse oocytes in three replicates and identified a total of 363 N-glycosylation sites from 215 N-glycoproteins. Bioinformatics analysis revealed that these oocyte N-glycoproteins were mainly enriched in cell adhesion, fertilization, and sperm-egg recognition. Overall, the LectinSP3 method has all procedures performed in one tube, using magnetic beads. It is suitable for analysis of a low amount of samples and is expected to be easily adaptable for automation. In addition, our mouse oocyte protein N-glycosylation profiling could help further characterize the regulation of oocyte functions.
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Affiliation(s)
- Zian Huo
- State Key Laboratory of Reproductive Medicine and Offspring Health, Department of Histology and Embryology, Nanjing Medical University, Nanjing 211166, China
| | - Haixia Tu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Department of Histology and Embryology, Nanjing Medical University, Nanjing 211166, China
- Department of Clinical Laboratory, Sir Run Run Hospital, Nanjing Medical University, Nanjing 211166, China
| | - Jie Ren
- State Key Laboratory of Reproductive Medicine and Offspring Health, Department of Histology and Embryology, Nanjing Medical University, Nanjing 211166, China
| | - Xiangzheng Zhang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Department of Histology and Embryology, Nanjing Medical University, Nanjing 211166, China
| | - Yaling Qi
- State Key Laboratory of Reproductive Medicine and Offspring Health, Department of Histology and Embryology, Nanjing Medical University, Nanjing 211166, China
| | - Chenghao Situ
- State Key Laboratory of Reproductive Medicine and Offspring Health, Department of Histology and Embryology, Nanjing Medical University, Nanjing 211166, China
| | - Yan Li
- Department of Clinical Laboratory, Sir Run Run Hospital, Nanjing Medical University, Nanjing 211166, China
| | - Yueshuai Guo
- State Key Laboratory of Reproductive Medicine and Offspring Health, Department of Histology and Embryology, Nanjing Medical University, Nanjing 211166, China
| | - Xuejiang Guo
- State Key Laboratory of Reproductive Medicine and Offspring Health, Department of Histology and Embryology, Nanjing Medical University, Nanjing 211166, China
| | - Hui Zhu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Department of Histology and Embryology, Nanjing Medical University, Nanjing 211166, China
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9
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Peters-Clarke TM, Coon JJ, Riley NM. Instrumentation at the Leading Edge of Proteomics. Anal Chem 2024; 96:7976-8010. [PMID: 38738990 DOI: 10.1021/acs.analchem.3c04497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024]
Affiliation(s)
- Trenton M Peters-Clarke
- Department of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Department of Biomolecular Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
| | - Joshua J Coon
- Department of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Department of Biomolecular Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Morgridge Institute for Research, Madison, Wisconsin 53715, United States
| | - Nicholas M Riley
- Department of Chemistry, University of Washington, Seattle, Washington 98195, United States
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10
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Murfuni MS, Prestagiacomo LE, Giuliano A, Gabriele C, Signoretti S, Cuda G, Gaspari M. Evaluation of PAC and FASP Performance: DIA-Based Quantitative Proteomic Analysis. Int J Mol Sci 2024; 25:5141. [PMID: 38791181 PMCID: PMC11121386 DOI: 10.3390/ijms25105141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 04/30/2024] [Accepted: 05/03/2024] [Indexed: 05/26/2024] Open
Abstract
The aim of this study was to compare filter-aided sample preparation (FASP) and protein aggregation capture (PAC) starting from a three-species protein mix (Human, Soybean and Pisum sativum) and two different starting amounts (1 and 10 µg). Peptide mixtures were analyzed by data-independent acquisition (DIA) and raw files were processed by three commonly used software: Spectronaut, MaxDIA and DIA-NN. Overall, the highest number of proteins (mean value of 5491) were identified by PAC (10 µg), while the lowest number (4855) was identified by FASP (1 µg). The latter experiment displayed the worst performance in terms of both specificity (0.73) and precision (0.24). Other tested conditions showed better diagnostic accuracy, with specificity values of 0.95-0.99 and precision values between 0.61 and 0.86. In order to provide guidance on the data analysis pipeline, the accuracy diagnostic of three software was investigated: (i) the highest sensitivity was obtained with Spectronaut (median of 0.67) highlighting the ability of Spectronaut to quantify low-abundance proteins, (ii) the best precision value was obtained by MaxDIA (median of 0.84), but with a reduced number of identifications compared to Spectronaut and DIA-NN data, and (iii) the specificity values were similar (between 0.93 and 0.99). The data are available on ProteomeXchange with the identifier PXD044349.
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11
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Truong T, Kelly RT. What's new in single-cell proteomics. Curr Opin Biotechnol 2024; 86:103077. [PMID: 38359605 PMCID: PMC11068367 DOI: 10.1016/j.copbio.2024.103077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 01/19/2024] [Indexed: 02/17/2024]
Abstract
In recent years, single-cell proteomics (SCP) has advanced significantly, enabling the analysis of thousands of proteins within single mammalian cells. This progress is driven by advances in experimental design, with maturing label-free and multiplexed methods, optimized sample preparation, and innovations in separation techniques, including ultra-low-flow nanoLC. These factors collectively contribute to improved sensitivity, throughput, and reproducibility. Cutting-edge mass spectrometry platforms and data acquisition approaches continue to play a critical role in enhancing data quality. Furthermore, the exploration of spatial proteomics with single-cell resolution offers significant promise for understanding cellular interactions, giving rise to various phenotypes. SCP has far-reaching applications in cancer research, biomarker discovery, and developmental biology. Here, we provide a critical review of recent advances in the field of SCP.
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Affiliation(s)
- Thy Truong
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602, United States
| | - Ryan T Kelly
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602, United States.
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12
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Garcia-Borja E, Siegl F, Mateu R, Slaby O, Sedo A, Busek P, Sana J. Critical appraisal of the piRNA-PIWI axis in cancer and cancer stem cells. Biomark Res 2024; 12:15. [PMID: 38303021 PMCID: PMC10836005 DOI: 10.1186/s40364-024-00563-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 01/15/2024] [Indexed: 02/03/2024] Open
Abstract
Small noncoding RNAs play an important role in various disease states, including cancer. PIWI proteins, a subfamily of Argonaute proteins, and PIWI-interacting RNAs (piRNAs) were originally described as germline-specific molecules that inhibit the deleterious activity of transposable elements. However, several studies have suggested a role for the piRNA-PIWI axis in somatic cells, including somatic stem cells. Dysregulated expression of piRNAs and PIWI proteins in human tumors implies that, analogously to their roles in undifferentiated cells under physiological conditions, these molecules may be important for cancer stem cells and thus contribute to cancer progression. We provide an overview of piRNA biogenesis and critically review the evidence for the role of piRNA-PIWI axis in cancer stem cells. In addition, we examine the potential of piRNAs and PIWI proteins to become biomarkers in cancer.
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Affiliation(s)
- Elena Garcia-Borja
- Laboratory of Cancer Cell Biology, Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, U Nemocnice 478/5, Prague 2, 128 53, Czech Republic
| | - Frantisek Siegl
- Central European Institute of Technology, Masaryk University, Kamenice 753/5, Brno, 625 00, Czech Republic
- Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Rosana Mateu
- Laboratory of Cancer Cell Biology, Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, U Nemocnice 478/5, Prague 2, 128 53, Czech Republic
| | - Ondrej Slaby
- Central European Institute of Technology, Masaryk University, Kamenice 753/5, Brno, 625 00, Czech Republic
- Department of Biology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Aleksi Sedo
- Laboratory of Cancer Cell Biology, Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, U Nemocnice 478/5, Prague 2, 128 53, Czech Republic
| | - Petr Busek
- Laboratory of Cancer Cell Biology, Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, U Nemocnice 478/5, Prague 2, 128 53, Czech Republic.
| | - Jiri Sana
- Central European Institute of Technology, Masaryk University, Kamenice 753/5, Brno, 625 00, Czech Republic.
- Department of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
- Department of Pathology, University Hospital Brno, Brno, Czech Republic.
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13
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Zhang Z, Wallace WE, Wang G, Burke MC, Liu Y, Sheetlin SL, Stein SE. Improved Sample Preparation Method for Protein and Peptide Identification from Human Hair. J Proteome Res 2024; 23:409-417. [PMID: 38009783 PMCID: PMC10829973 DOI: 10.1021/acs.jproteome.3c00627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
A fast and sensitive direct extraction (DE) method developed in our group can efficiently extract proteins in 30 min from a 5 cm-long hair strand. Previously, we coupled DE to downstream analysis using gel electrophoresis followed by in-gel digestion, which can be time-consuming. In searching for a better alternative, we found that a combination of DE with a bead-based method (SP3) can lead to significant improvements in protein discovery in human hair. Since SP3 is designed for general applications, we optimized it to process hair proteins following DE and compared it to several other in-solution digestion methods. Of particular concern are genetically variant peptides (GVPs), which can be used for human identification in forensic analysis. Here, we demonstrated improved GVP discovery with the DE and SP3 workflow, which was 3 times faster than the previous in-gel digestion method and required significantly less instrument time depending on the number of gel slices processed. Additionally, it led to an increased number of identified proteins and GVPs. Among the tested in-solution digestion methods, DE combined with SP3 showed the highest sequence coverage, with higher abundances of the identified peptides. This provides a significantly enhanced means for identifying proteins and GVPs in human hair.
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Affiliation(s)
- Zheng Zhang
- Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899 USA
| | - William E. Wallace
- Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899 USA
| | - Guanghui Wang
- Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899 USA
| | - Meghan C. Burke
- Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899 USA
| | - Yi Liu
- Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899 USA
| | - Sergey L. Sheetlin
- Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899 USA
| | - Stephen E. Stein
- Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899 USA
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14
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Schall PZ, Latham KE. Predictive modeling of oocyte maternal mRNA features for five mammalian species reveals potential shared and species-restricted regulators during maturation. Physiol Genomics 2024; 56:9-31. [PMID: 37842744 PMCID: PMC11281819 DOI: 10.1152/physiolgenomics.00048.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 09/26/2023] [Accepted: 10/09/2023] [Indexed: 10/17/2023] Open
Abstract
Oocyte maturation is accompanied by changes in abundances of thousands of mRNAs, many degraded and many preferentially stabilized. mRNA stability can be regulated by diverse features including GC content, codon bias, and motifs within the 3'-untranslated region (UTR) interacting with RNA binding proteins (RBPs) and miRNAs. Many studies have identified factors participating in mRNA splicing, bulk mRNA storage, and translational recruitment in mammalian oocytes, but the roles of potentially hundreds of expressed factors, how they regulate cohorts of thousands of mRNAs, and to what extent their functions are conserved across species has not been determined. We performed an extensive in silico cross-species analysis of features associated with mRNAs of different stability classes during oocyte maturation (stable, moderately degraded, and highly degraded) for five mammalian species. Using publicly available RNA sequencing data for germinal vesicle (GV) and MII oocyte transcriptomes, we determined that 3'-UTR length and synonymous codon usage are positively associated with stability, while greater GC content is negatively associated with stability. By applying machine learning and feature selection strategies, we identified RBPs and miRNAs that are predictive of mRNA stability, including some across multiple species and others more species-restricted. The results provide new insight into the mechanisms regulating maternal mRNA stabilization or degradation.NEW & NOTEWORTHY Conservation across species of mRNA features regulating maternal mRNA stability during mammalian oocyte maturation was analyzed. 3'-Untranslated region length and synonymous codon usage are positively associated with stability, while GC content is negatively associated. Just three RNA binding protein motifs were predicted to regulate mRNA stability across all five species examined, but associated pathways and functions are shared, indicating oocytes of different species arrive at comparable physiological destinations via different routes.
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Affiliation(s)
- Peter Z Schall
- Department of Animal Science, Michigan State University, East Lansing, Michigan, United States
- Reproductive and Developmental Sciences Program, Michigan State University, East Lansing, Michigan, United States
- Comparative Medicine and Integrative Biology Program, Michigan State University, East Lansing, Michigan, United States
| | - Keith E Latham
- Department of Animal Science, Michigan State University, East Lansing, Michigan, United States
- Reproductive and Developmental Sciences Program, Michigan State University, East Lansing, Michigan, United States
- Department of Obstetrics, Gynecology, and Reproductive Biology, Michigan State University, East Lansing, Michigan, United States
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15
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Yan J, Wu T, Zhang J, Gao Y, Wu JM, Wang S. Revolutionizing the female reproductive system research using microfluidic chip platform. J Nanobiotechnology 2023; 21:490. [PMID: 38111049 PMCID: PMC10729361 DOI: 10.1186/s12951-023-02258-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 12/07/2023] [Indexed: 12/20/2023] Open
Abstract
Comprehensively understanding the female reproductive system is crucial for safeguarding fertility and preventing diseases concerning women's health. With the capacity to simulate the intricate physio- and patho-conditions, and provide diagnostic platforms, microfluidic chips have fundamentally transformed the knowledge and management of female reproductive health, which will ultimately promote the development of more effective assisted reproductive technologies, treatments, and drug screening approaches. This review elucidates diverse microfluidic systems in mimicking the ovary, fallopian tube, uterus, placenta and cervix, and we delve into the culture of follicles and oocytes, gametes' manipulation, cryopreservation, and permeability especially. We investigate the role of microfluidics in endometriosis and hysteromyoma, and explore their applications in ovarian cancer, endometrial cancer and cervical cancer. At last, the current status of assisted reproductive technology and integrated microfluidic devices are introduced briefly. Through delineating the multifarious advantages and challenges of the microfluidic technology, we chart a definitive course for future research in the woman health field. As the microfluidic technology continues to evolve and advance, it holds great promise for revolutionizing the diagnosis and treatment of female reproductive health issues, thus propelling us into a future where we can ultimately optimize the overall wellbeing and health of women everywhere.
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Affiliation(s)
- Jinfeng Yan
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China
- State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
- Engineering Research Center of Ceramic Materials for Additive Manufacturing, Ministry of Education, Wuhan, 430074, China
| | - Tong Wu
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China
| | - Jinjin Zhang
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China
| | - Yueyue Gao
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China
| | - Jia-Min Wu
- State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China.
- Engineering Research Center of Ceramic Materials for Additive Manufacturing, Ministry of Education, Wuhan, 430074, China.
| | - Shixuan Wang
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China.
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16
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Mayer RL, Mechtler K. Immunopeptidomics in the Era of Single-Cell Proteomics. BIOLOGY 2023; 12:1514. [PMID: 38132340 PMCID: PMC10740491 DOI: 10.3390/biology12121514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/04/2023] [Accepted: 12/06/2023] [Indexed: 12/23/2023]
Abstract
Immunopeptidomics, as the analysis of antigen peptides being presented to the immune system via major histocompatibility complexes (MHC), is being seen as an imperative tool for identifying epitopes for vaccine development to treat cancer and viral and bacterial infections as well as parasites. The field has made tremendous strides over the last 25 years but currently still faces challenges in sensitivity and throughput for widespread applications in personalized medicine and large vaccine development studies. Cutting-edge technological advancements in sample preparation, liquid chromatography as well as mass spectrometry, and data analysis, however, are currently transforming the field. This perspective showcases how the advent of single-cell proteomics has accelerated this transformation of immunopeptidomics in recent years and will pave the way for even more sensitive and higher-throughput immunopeptidomics analyses.
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Affiliation(s)
- Rupert L. Mayer
- Research Institute of Molecular Pathology (IMP), Vienna BioCenter, 1030 Vienna, Austria
| | - Karl Mechtler
- Research Institute of Molecular Pathology (IMP), Vienna BioCenter, 1030 Vienna, Austria
- Gregor Mendel Institute of Molecular Plant Biology (GMI), Austrian Academy of Sciences, Vienna BioCenter (VBC), 1030 Vienna, Austria
- Institute of Molecular Biotechnology (IMBA), Austrian Academy of Sciences, Vienna BioCenter (VBC), 1030 Vienna, Austria
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17
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Jiang YR, Zhu L, Cao LR, Wu Q, Chen JB, Wang Y, Wu J, Zhang TY, Wang ZL, Guan ZY, Xu QQ, Fan QX, Shi SW, Wang HF, Pan JZ, Fu XD, Wang Y, Fang Q. Simultaneous deep transcriptome and proteome profiling in a single mouse oocyte. Cell Rep 2023; 42:113455. [PMID: 37976159 DOI: 10.1016/j.celrep.2023.113455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 09/23/2023] [Accepted: 11/01/2023] [Indexed: 11/19/2023] Open
Abstract
Although single-cell multi-omics technologies are undergoing rapid development, simultaneous transcriptome and proteome analysis of a single-cell individual still faces great challenges. Here, we developed a single-cell simultaneous transcriptome and proteome (scSTAP) analysis platform based on microfluidics, high-throughput sequencing, and mass spectrometry technology to achieve deep and joint quantitative analysis of transcriptome and proteome at the single-cell level, providing an important resource for understanding the relationship between transcription and translation in cells. This platform was applied to analyze single mouse oocytes at different meiotic maturation stages, reaching an average quantification depth of 19,948 genes and 2,663 protein groups in single mouse oocytes. In particular, we analyzed the correlation of individual RNA and protein pairs, as well as the meiosis regulatory network with unprecedented depth, and identified 30 transcript-protein pairs as specific oocyte maturational signatures, which could be productive for exploring transcriptional and translational regulatory features during oocyte meiosis.
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Affiliation(s)
- Yi-Rong Jiang
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Le Zhu
- School of Medicine, Liangzhu Laboratory, Zhejiang University, Hangzhou 311113, China
| | - Lan-Rui Cao
- School of Medicine, Liangzhu Laboratory, Zhejiang University, Hangzhou 311113, China
| | - Qiong Wu
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Jian-Bo Chen
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Yu Wang
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, China
| | - Jie Wu
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | | | | | - Zhi-Ying Guan
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Qin-Qin Xu
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Qian-Xi Fan
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Shao-Wen Shi
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, China
| | - Hui-Feng Wang
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, China
| | - Jian-Zhang Pan
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, China
| | - Xu-Dong Fu
- School of Medicine, Liangzhu Laboratory, Zhejiang University, Hangzhou 311113, China; Center of Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310011, China.
| | - Yongcheng Wang
- School of Medicine, Liangzhu Laboratory, Zhejiang University, Hangzhou 311113, China; Department of Laboratory Medicine, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310011, China.
| | - Qun Fang
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, China; Key Laboratory of Excited-State Materials of Zhejiang Province, Zhejiang University, Hangzhou 310007, China.
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18
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Ahmad R, Budnik B. A review of the current state of single-cell proteomics and future perspective. Anal Bioanal Chem 2023; 415:6889-6899. [PMID: 37285026 PMCID: PMC10632274 DOI: 10.1007/s00216-023-04759-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 05/12/2023] [Accepted: 05/16/2023] [Indexed: 06/08/2023]
Abstract
Single-cell methodologies and technologies have started a revolution in biology which until recently has primarily been limited to deep sequencing and imaging modalities. With the advent and subsequent torrid development of single-cell proteomics over the last 5 years, despite the fact that proteins cannot be amplified like transcripts, it has now become abundantly clear that it is a worthy complement to single-cell transcriptomics. In this review, we engage in an assessment of the current state of the art of single-cell proteomics including workflow, sample preparation techniques, instrumentation, and biological applications. We investigate the challenges associated with working with very small sample volumes and the acute need for robust statistical methods for data interpretation. We delve into what we believe is a promising future for biological research at single-cell resolution and highlight some of the exciting discoveries that already have been made using single-cell proteomics, including the identification of rare cell types, characterization of cellular heterogeneity, and investigation of signaling pathways and disease mechanisms. Finally, we acknowledge that there are a number of outstanding and pressing problems that the scientific community vested in advancing this technology needs to resolve. Of prime importance is the need to set standards so that this technology becomes widely accessible allowing novel discoveries to be easily verifiable. We conclude with a plea to solve these problems rapidly so that single-cell proteomics can be part of a robust, high-throughput, and scalable single-cell multi-omics platform that can be ubiquitously applied to elucidating deep biological insights into the diagnosis and treatment of all diseases that afflict us.
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Affiliation(s)
- Rushdy Ahmad
- Wyss Institute for Biologically Inspired Engineering at Harvard University, 3 Blackfan Circle, Boston, MA, 02115, USA
| | - Bogdan Budnik
- Wyss Institute for Biologically Inspired Engineering at Harvard University, 3 Blackfan Circle, Boston, MA, 02115, USA.
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19
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Tsai CY, Chen PH, Chen AL, Wang TSA. Spatiotemporal Investigation of Intercellular Heterogeneity via Multiple Photocaged Probes. Chemistry 2023; 29:e202301067. [PMID: 37382047 DOI: 10.1002/chem.202301067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/14/2023] [Accepted: 06/28/2023] [Indexed: 06/30/2023]
Abstract
Intercellular heterogeneity occurs widely under both normal physiological environments and abnormal disease-causing conditions. Several attempts to couple spatiotemporal information to cell states in a microenvironment were performed to decipher the cause and effect of heterogeneity. Furthermore, spatiotemporal manipulation can be achieved with the use of photocaged/photoactivatable molecules. Here, we provide a platform to spatiotemporally analyze differential protein expression in neighboring cells by multiple photocaged probes coupled with homemade photomasks. We successfully established intercellular heterogeneity (photoactivable ROS trigger) and mapped the targets (directly ROS-affected cells) and bystanders (surrounding cells), which were further characterized by total proteomic and cysteinomic analysis. Different protein profiles were shown between bystanders and target cells in both total proteome and cysteinome. Our strategy should expand the toolkit of spatiotemporal mapping for elucidating intercellular heterogeneity.
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Affiliation(s)
- Chun-Yi Tsai
- Department of Chemistry, National Taiwan University and Center for, Emerging Material and Advanced Devices, National Taiwan University, Taipei, 10617, Taiwan (R.O.C
| | - Po-Hsun Chen
- Department of Chemistry, National Taiwan University and Center for, Emerging Material and Advanced Devices, National Taiwan University, Taipei, 10617, Taiwan (R.O.C
| | - Ai-Lin Chen
- Department of Chemistry, National Taiwan University and Center for, Emerging Material and Advanced Devices, National Taiwan University, Taipei, 10617, Taiwan (R.O.C
| | - Tsung-Shing Andrew Wang
- Department of Chemistry, National Taiwan University and Center for, Emerging Material and Advanced Devices, National Taiwan University, Taipei, 10617, Taiwan (R.O.C
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20
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Johnston SM, Webber KGI, Xie X, Truong T, Nydegger A, Lin HJL, Nwosu A, Zhu Y, Kelly RT. Rapid, One-Step Sample Processing for Label-Free Single-Cell Proteomics. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023; 34:1701-1707. [PMID: 37410391 PMCID: PMC11017373 DOI: 10.1021/jasms.3c00159] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
Abstract
Sample preparation for single-cell proteomics is generally performed in a one-pot workflow with multiple dispensing and incubation steps. These hours-long processes can be labor intensive and lead to long sample-to-answer times. Here we report a sample preparation method that achieves cell lysis, protein denaturation, and digestion in 1 h using commercially available high-temperature-stabilized proteases with a single reagent dispensing step. Four different one-step reagent compositions were evaluated, and the mixture providing the highest proteome coverage was compared to the previously employed multistep workflow. The one-step preparation increases proteome coverage relative to the previous multistep workflow while minimizing labor input and the possibility of human error. We also compared sample recovery between previously used microfabricated glass nanowell chips and injection-molded polypropylene chips and found the polypropylene provided improved proteome coverage. Combined, the one-step sample preparation and the polypropylene substrates enabled the identification of an average of nearly 2400 proteins per cell using a standard data-dependent workflow with Orbitrap mass spectrometers. These advances greatly simplify sample preparation for single-cell proteomics and broaden accessibility with no compromise in terms of proteome coverage.
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Affiliation(s)
- S Madisyn Johnston
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - Kei G I Webber
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - Xiaofeng Xie
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - Thy Truong
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - Alissia Nydegger
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - Hsien-Jung L Lin
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - Andikan Nwosu
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - Ying Zhu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Ryan T Kelly
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
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21
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Zhang H, Ji S, Zhang K, Chen Y, Ming J, Kong F, Wang L, Wang S, Zou Z, Xiong Z, Xu K, Lin Z, Huang B, Liu L, Fan Q, Jin S, Deng H, Xie W. Stable maternal proteins underlie distinct transcriptome, translatome, and proteome reprogramming during mouse oocyte-to-embryo transition. Genome Biol 2023; 24:166. [PMID: 37443062 PMCID: PMC10347836 DOI: 10.1186/s13059-023-02997-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 06/27/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND The oocyte-to-embryo transition (OET) converts terminally differentiated gametes into a totipotent embryo and is critically controlled by maternal mRNAs and proteins, while the genome is silent until zygotic genome activation. How the transcriptome, translatome, and proteome are coordinated during this critical developmental window remains poorly understood. RESULTS Utilizing a highly sensitive and quantitative mass spectrometry approach, we obtain high-quality proteome data spanning seven mouse stages, from full-grown oocyte (FGO) to blastocyst, using 100 oocytes/embryos at each stage. Integrative analyses reveal distinct proteome reprogramming compared to that of the transcriptome or translatome. FGO to 8-cell proteomes are dominated by FGO-stockpiled proteins, while the transcriptome and translatome are more dynamic. FGO-originated proteins frequently persist to blastocyst while corresponding transcripts are already downregulated or decayed. Improved concordance between protein and translation or transcription is observed for genes starting translation upon meiotic resumption, as well as those transcribed and translated only in embryos. Concordance between protein and transcription/translation is also observed for proteins with short half-lives. We built a kinetic model that predicts protein dynamics by incorporating both initial protein abundance in FGOs and translation kinetics across developmental stages. CONCLUSIONS Through integrative analyses of datasets generated by ultrasensitive methods, our study reveals that the proteome shows distinct dynamics compared to the translatome and transcriptome during mouse OET. We propose that the remarkably stable oocyte-originated proteome may help save resources to accommodate the demanding needs of growing embryos. This study will advance our understanding of mammalian OET and the fundamental principles governing gene expression.
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Affiliation(s)
- Hongmei Zhang
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Shuyan Ji
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Ke Zhang
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Yuling Chen
- School of Life Sciences, Tsinghua University, Beijing, China
| | - Jia Ming
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Feng Kong
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Lijuan Wang
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Shun Wang
- School of Mathematics and Statistics, Wuhan University, Wuhan, China
- Hubei Key Laboratory of Computational Science, Wuhan University, Wuhan, China
| | - Zhuoning Zou
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
| | - Zhuqing Xiong
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Kai Xu
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Zili Lin
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Bo Huang
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, School of Medicine, the First Affiliated Hospital, Zhejiang University, Hangzhou, 310002, China
| | - Ling Liu
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Qiang Fan
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Suoqin Jin
- School of Mathematics and Statistics, Wuhan University, Wuhan, China
| | - Haiteng Deng
- School of Life Sciences, Tsinghua University, Beijing, China
| | - Wei Xie
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, 100084, China.
- Tsinghua-Peking Center for Life Sciences, Beijing, China.
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22
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Montgomery K, Montgomery S, Campbell A, Nash DM. A comparison of the morphokinetic profiles of embryos developed from vitrified versus fresh oocytes. Reprod Biomed Online 2023; 47:51-60. [PMID: 37188558 DOI: 10.1016/j.rbmo.2023.02.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/13/2023] [Accepted: 02/21/2023] [Indexed: 03/06/2023]
Abstract
RESEARCH QUESTION Do morphokinetic profiles and treatment outcomes differ between embryos developed from vitrified or fresh oocytes? DESIGN Retrospective multicentre analysis using data from eight CARE Fertility clinics across the UK between 2012 and 2019. Patients receiving treatment using embryos developed from vitrified oocytes (n = 118 women, n = 748 oocytes), providing 557 zygotes during this time period, were recruited and matched with patients undergoing treatment with embryos developed from fresh oocytes (n = 123 women, n = 1110 oocytes), providing 539 zygotes in the same time frame. Time-lapse microscopy was used to assess morphokinetic profiles, including early cleavage divisions (2- through to 8-cell), post-cleavage stages including time to start of compaction, time to morula, time to start of blastulation and time to full blastocyst. Duration of key stages such as the compaction stage were also calculated. Treatment outcomes were compared between the two groups (live birth rate, clinical pregnancy rate and implantation rate). RESULTS A significant delay of 2-3 h across all early cleavage divisions (2- through to 8-cell) and time to start of compaction occurred in the vitrified group versus fresh controls (all P ≤ 0.01). The compaction stage was significantly shorter in vitrified oocytes (19.02 ± 0.5 h) compared with fresh controls (22.45 ± 0.6 h, P < 0.001). There was no difference in the time that fresh and vitrified embryos reached the blastocyst stage (108.03 ± 0.7 versus 107.78 ± 0.6 h). There was no significant difference in treatment outcomes between the two groups. CONCLUSION Vitrification is a useful technique for extending female fertility with no effects on IVF treatment outcome.
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Affiliation(s)
- Kathryn Montgomery
- Department of Life Sciences, Aberystwyth University, Penglais, Aberystwyth, Ceredigion, UK
| | - Susan Montgomery
- CARE Fertility Manchester, 108-112 Daisy Bank Road, Victoria Park, Manchester, UK
| | - Alison Campbell
- CARE Fertility Manchester, 108-112 Daisy Bank Road, Victoria Park, Manchester, UK.
| | - Deborah Mary Nash
- Department of Life Sciences, Aberystwyth University, Penglais, Aberystwyth, Ceredigion, UK
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23
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Slavov N. Single-cell proteomics: quantifying post-transcriptional regulation during development with mass-spectrometry. Development 2023; 150:dev201492. [PMID: 37387573 PMCID: PMC10323229 DOI: 10.1242/dev.201492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/01/2023]
Abstract
Many developmental processes are regulated post-transcriptionally. Such post-transcriptional regulatory mechanisms can now be analyzed by robust single-cell mass spectrometry methods that allow accurate quantification of proteins and their modification in single cells. These methods can enable quantitative exploration of protein synthesis and degradation mechanisms that contribute to developmental cell fate specification. Furthermore, they may support functional analysis of protein conformations and activities in single cells, and thus link protein functions to developmental processes. This Spotlight provides an accessible introduction to single-cell mass spectrometry methods and suggests initial biological questions that are ripe for investigation.
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Affiliation(s)
- Nikolai Slavov
- Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, and Barnett Institute, Northeastern University, Boston, MA 02115, USA
- Parallel Squared Technology Institute, Watertown, MA 02472, USA
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24
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Matzinger M, Mayer RL, Mechtler K. Label-free single cell proteomics utilizing ultrafast LC and MS instrumentation: A valuable complementary technique to multiplexing. Proteomics 2023; 23:e2200162. [PMID: 36806919 PMCID: PMC10909491 DOI: 10.1002/pmic.202200162] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/09/2023] [Accepted: 02/10/2023] [Indexed: 02/21/2023]
Abstract
The ability to map a proteomic fingerprint to transcriptomic data would master the understanding of how gene expression translates into actual phenotype. In contrast to nucleic acid sequencing, in vitro protein amplification is impossible and no single cell proteomic workflow has been established as gold standard yet. Advances in microfluidic sample preparation, multi-dimensional sample separation, sophisticated data acquisition strategies, and intelligent data analysis algorithms have resulted in major improvements to successfully analyze such tiny sample amounts with steadily boosted performance. However, among the broad variation of published approaches, it is commonly accepted that highest possible sensitivity, robustness, and throughput are still the most urgent needs for the field. While many labs have focused on multiplexing to achieve these goals, label-free SCP is a highly promising strategy as well whenever high dynamic range and unbiased accurate quantification are needed. We here focus on recent advances in label-free single-cell mass spectrometry workflows and try to guide our readers to choose the best method or combinations of methods for their specific applications. We further highlight which techniques are most propitious in the future and which applications but also limitations we foresee for the field.
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Affiliation(s)
- Manuel Matzinger
- Research Institute of Molecular Pathology (IMP)Vienna BioCenterViennaAustria
| | - Rupert L. Mayer
- Research Institute of Molecular Pathology (IMP)Vienna BioCenterViennaAustria
| | - Karl Mechtler
- Research Institute of Molecular Pathology (IMP)Vienna BioCenterViennaAustria
- Gregor Mendel Institute of Molecular Plant Biology (GMI), Austrian Academy of SciencesVienna BioCenter (VBC)ViennaAustria
- Institute of Molecular Biotechnology (IMBA), Austrian Academy of SciencesVienna BioCenter (VBC)ViennaAustria
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25
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Li Q, Mu L, Yang X, Wang G, Liang J, Wang S, Zhang H, Li Z. Discovery of Oogenesis Biomarkers from Mouse Oocytes Using a Single-Cell Proteomics Approach. J Proteome Res 2023. [PMID: 37154469 DOI: 10.1021/acs.jproteome.3c00157] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
We established an efficient and simplified single-cell proteomics (ES-SCP) workflow to realize proteomics profiling at the single-oocyte level. With the ES-SCP workflow, we constructed a deep coverage proteome library during oocyte maturation, which contained more than 6000 protein groups, and identified and quantified more than 4000 protein groups from a pool of only 15 oocytes at germinal vesicle (GV), GV breakdown (GVBD), and metaphase II (MII) stages. More than 1500 protein groups can be identified from single oocytes. We found that marker proteins including maternal factors and mRNA regulators, such as ZAR1, TLE6, and BTG4, showed significant variations in abundance during oocyte maturation, and it was discovered that maternal mRNA degradation was indispensable during oocyte maturation. Proteomics analysis from single oocytes revealed that changes in antioxidant factors, maternal factors, mRNA stabilization, and energy metabolism were the factors that affect the oocyte quality during ovary aging. Our data laid the foundation for future innovations in assisted reproduction.
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Affiliation(s)
- Qian Li
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Lu Mu
- State Key Laboratory of Farm Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Xuebing Yang
- State Key Laboratory of Farm Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Ge Wang
- State Key Laboratory of Farm Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Jing Liang
- State Key Laboratory of Farm Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Shaolin Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Hua Zhang
- State Key Laboratory of Farm Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Zhen Li
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing 100193, China
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26
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Khan MS, Kim HS, Kim R, Yoon SH, Kim SG. Dysregulated Liver Metabolism and Polycystic Ovarian Syndrome. Int J Mol Sci 2023; 24:ijms24087454. [PMID: 37108615 PMCID: PMC10138914 DOI: 10.3390/ijms24087454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/10/2023] [Accepted: 04/14/2023] [Indexed: 04/29/2023] Open
Abstract
A significant fraction of couples around the world suffer from polycystic ovarian syndrome (PCOS), a disease defined by the characteristics of enhanced androgen synthesis in ovarian theca cells, hyperandrogenemia, and ovarian dysfunction in women. Most of the clinically observable symptoms and altered blood biomarker levels in the patients indicate metabolic dysregulation and adaptive changes as the key underlying mechanisms. Since the liver is the metabolic hub of the body and is involved in steroid-hormonal detoxification, pathological changes in the liver may contribute to female endocrine disruption, potentially through the liver-to-ovary axis. Of particular interest are hyperglycemic challenges and the consequent changes in liver-secretory protein(s) and insulin sensitivity affecting the maturation of ovarian follicles, potentially leading to female infertility. The purpose of this review is to provide insight into emerging metabolic mechanisms underlying PCOS as the primary culprit, which promote its incidence and aggravation. Additionally, this review aims to summarize medications and new potential therapeutic approaches for the disease.
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Affiliation(s)
- Muhammad Sohaib Khan
- College of Pharmacy and Integrated Research Institute for Drug Development, Dongguk University-Seoul, Goyang-si 10326, Republic of Korea
| | - Hee-Sun Kim
- Department of Obstetrics and Gynecology, Dongguk University Ilsan Medical Center, Goyang-si 10326, Republic of Korea
| | - Ranhee Kim
- Department of Obstetrics and Gynecology, Dongguk University Ilsan Medical Center, Goyang-si 10326, Republic of Korea
| | - Sang Ho Yoon
- Department of Obstetrics and Gynecology, Dongguk University Ilsan Medical Center, Goyang-si 10326, Republic of Korea
- Department of Obstetrics and Gynecology, Dongguk University Medical College, Goyang-si 10326, Republic of Korea
| | - Sang Geon Kim
- College of Pharmacy and Integrated Research Institute for Drug Development, Dongguk University-Seoul, Goyang-si 10326, Republic of Korea
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27
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Zhou J, Xie H, Liu J, Huang R, Xiang Y, Tian D, Bian E. PIWI-interacting RNAs: Critical roles and therapeutic targets in cancer. Cancer Lett 2023; 562:216189. [PMID: 37076042 DOI: 10.1016/j.canlet.2023.216189] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 04/02/2023] [Accepted: 04/12/2023] [Indexed: 04/21/2023]
Abstract
P-element-induced wimpy testis (PIWI)-interacting RNAs (piRNAs) are a novel class of small regulatory RNAs (approximately 24-31 nucleotides in length) that often bind to members of the PIWI protein family. piRNAs regulate transposons in animal germ cells; piRNAs are also specifically expressed in many human tissues and regulate pivotal signaling pathways. Additionally, the abnormal expression of piRNAs and PIWI proteins has been associated with various malignant tumours, and multiple mechanisms of piRNA-mediated target gene dysregulation are involved in tumourigenesis and progression, suggesting that they have the potential to serve as new biomarkers and therapeutic targets for tumours. However, the functions and potential mechanisms of action of piRNAs in cancer have not yet been elucidated. This review summarises the current findings on the biogenesis, function, and mechanisms of piRNAs and PIWI proteins in cancer. We also discuss the clinical significance of piRNAs as diagnostic or prognostic biomarkers and therapeutic tools for cancer. Finally, we present some critical questions regarding piRNA research that need to be addressed to provide insight into the future development of the field.
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Affiliation(s)
- Jialin Zhou
- Department of Clinical Medicine, The Second School of Clinical Medical, Anhui Medical University, Hefei, China
| | - Han Xie
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui Province, 230601, China; Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China
| | - Jun Liu
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui Province, 230601, China; Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China
| | - Ruixiang Huang
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui Province, 230601, China; Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China
| | - Yufei Xiang
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui Province, 230601, China; Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China
| | - Dasheng Tian
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui Province, 230601, China; Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China.
| | - Erbao Bian
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui Province, 230601, China; Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China.
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28
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Riepsamen AH, Donoghoe MW, Indran IR, Hechtman L, Robertson DM, Gilchrist RB, Ledger WL, Yong E. Serum GDF9 and BMP15 as potential markers of ovarian function in women with and without polycystic ovary syndrome. Clin Endocrinol (Oxf) 2023; 98:567-577. [PMID: 36372988 PMCID: PMC10952143 DOI: 10.1111/cen.14851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/31/2022] [Accepted: 11/11/2022] [Indexed: 11/16/2022]
Abstract
OBJECTIVE Growth differentiation factor-9 (GDF9) and bone morphogenetic protein-15 (BMP15) are critical paracrine regulators of female fertility and are predominantly expressed by oocytes. However, it is unknown if serum concentrations reflect changes in ovarian function and/or reproductive endocrine disorders. This study aimed to determine if serum GDF9/BMP15 are associated with ovarian, pituitary, oestrogenic, androgenic and metabolic characteristics and the ovarian pathologies, polycystic ovarian morphology (PCOM) and polycystic ovary syndrome (PCOS). DESIGN Women aged 21-45 years (n = 381) were included from a cross-sectional study at the National University Hospital, Singapore. PATIENTS Participants were volunteers and patients with possible PCOS. MEASUREMENTS Anthropometric measurements, transvaginal ultrasound scans and serum sampling were performed and a questionnairecompleted. Serum GDF9 and BMP15 concentrations were matched with menstrual cycle length, ovarian protein and steroid hormone production, pituitary hormone production and metabolic assessments in women with PCOM or PCOS and those with neither (control). RESULTS Serum GDF9 and BMP15 were detectable in 40% and 41% of women, respectively and were positively correlated with each other (r = 0.08, p = 0.003). GDF9, but not BMP15, was positively correlated with ovarian volume (p = 0.02) and antral follicle count (AFC) (p = 0.004), but not with anti-Müllerian hormone (p = 0.05). However, serum GDF9 and BMP15 concentrations were not significantly different between control, PCOM and PCOS women, nor associated with androgenic or metabolic PCOS features. However, the relationship between GDF9 and AFC differed between control, PCOM and PCOS women (p = 0.02). CONCLUSIONS Serum GDF9 and BMP15 concentrations somewhat reflect ovarian but not androgenic or metabolic characteristics of PCOS, with increased GDF9 reflecting high AFC as seen in PCOM/PCOS.
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Affiliation(s)
- Angelique H. Riepsamen
- Fertility & Research Centre, School of Clinical MedicineUniversity of New South Wales SydneyNew South WalesSydneyAustralia
| | - Mark W. Donoghoe
- Stats Central, Mark Wainwright Analytical CentreUniversity of New South Wales SydneySydneyNew South WalesAustralia
| | - Inthrani R. Indran
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
- Department of Pharmacology, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Leah Hechtman
- Fertility & Research Centre, School of Clinical MedicineUniversity of New South Wales SydneyNew South WalesSydneyAustralia
| | - David M. Robertson
- Fertility & Research Centre, School of Clinical MedicineUniversity of New South Wales SydneyNew South WalesSydneyAustralia
| | - Robert B. Gilchrist
- Fertility & Research Centre, School of Clinical MedicineUniversity of New South Wales SydneyNew South WalesSydneyAustralia
| | - William L. Ledger
- Fertility & Research Centre, School of Clinical MedicineUniversity of New South Wales SydneyNew South WalesSydneyAustralia
| | - Eu‐Leong Yong
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
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29
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All that glitters is not gold: a stereological study of human donor oocytes. ZYGOTE 2023; 31:253-265. [PMID: 36938666 DOI: 10.1017/s0967199423000114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2023]
Abstract
Here we report a quantitative analysis of human metaphase II (MII) oocytes from a 22-year-old oocyte donor, retrieved after ovarian-controlled hyperstimulation. Five surplus donor oocytes were processed for transmission electron microscopy (TEM), and a stereological analysis was used to quantify the distribution of organelles, using the point-counting technique with an adequate stereological grid. Comparisons between means of the relative volumes (Vv) occupied by organelles in the three oocyte regions, cortex (C), subcortex (SC) and inner cytoplasm (IC), followed the Kruskal-Wallis test and Mann-Whitney U-test with Bonferroni correction. Life cell imaging and TEM analysis confirmed donor oocyte nuclear maturity. Results showed that the most abundant organelles were smooth endoplasmic reticulum (SER) elements (26.8%) and mitochondria (5.49%). Significant differences between oocyte regions were found for lysosomes (P = 0.003), cortical vesicles (P = 0.002) and large SER vesicles (P = 0.009). These results were quantitatively compared with previous results using prophase I (GV) and metaphase I (MI) immature oocytes. In donor MII oocytes there was a normal presence of cortical vesicles, SER tubules, SER small, medium and large vesicles, lysosomes and mitochondria. However, donor MII oocytes displayed signs of cytoplasmic immaturity, namely the presence of dictyosomes, present in GV oocytes and rare in MI oocytes, of SER very large vesicles, characteristic of GV oocytes, and the rarity of SER tubular aggregates. Results therefore indicate that the criterion of nuclear maturity used for donor oocyte selection does not always correspond to cytoplasmic maturity, which can partially explain implantation failures with the use of donor oocytes.
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30
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Abstract
Accurate protein quantification is key to identifying protein markers, regulatory relationships between proteins, and pathophysiological mechanisms. Realizing this potential requires sensitive and deep protein analysis of a large number of samples. Toward this goal, proteomics throughput can be increased by parallelizing the analysis of both precursors and samples using multiplexed data independent acquisition (DIA) implemented by the plexDIA framework: https://plexDIA.slavovlab.net. Here we demonstrate the improved precisions of retention time estimates within plexDIA and how this enables more accurate protein quantification. plexDIA has demonstrated multiplicative gains in throughput, and these gains may be substantially amplified by improving the multiplexing reagents, data acquisition, and interpretation. We discuss future directions for advancing plexDIA, which include engineering optimized mass-tags for high-plexDIA, introducing isotopologous carriers, and developing algorithms that utilize the regular structures of plexDIA data to improve sensitivity, proteome coverage, and quantitative accuracy. These advances in plexDIA will increase the throughput of functional proteomic assays, including quantifying protein conformations, turnover dynamics, modifications states and activities. The sensitivity of these assays will extend to single-cell analysis, thus enabling functional single-cell protein analysis.
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Affiliation(s)
- Jason Derks
- Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, and Barnett Institute, Northeastern University, Boston, Massachusetts 02115, United States
| | - Nikolai Slavov
- Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, and Barnett Institute, Northeastern University, Boston, Massachusetts 02115, United States
- Parallel Squared Technology Institute, Watertown, Massachusetts 02472, United States
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31
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Single-cell proteomics enabled by next-generation sequencing or mass spectrometry. Nat Methods 2023; 20:363-374. [PMID: 36864196 DOI: 10.1038/s41592-023-01791-5] [Citation(s) in RCA: 66] [Impact Index Per Article: 66.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 01/24/2023] [Indexed: 03/04/2023]
Abstract
In the last decade, single-cell RNA sequencing routinely performed on large numbers of single cells has greatly advanced our understanding of the underlying heterogeneity of complex biological systems. Technological advances have also enabled protein measurements, further contributing to the elucidation of cell types and states present in complex tissues. Recently, there have been independent advances in mass spectrometric techniques bringing us one step closer to characterizing single-cell proteomes. Here we discuss the challenges of detecting proteins in single cells by both mass spectrometry and sequencing-based methods. We review the state of the art for these techniques and propose that there is a space for technological advancements and complementary approaches that maximize the advantages of both classes of technologies.
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32
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Swanson GM, Nassan FL, Ford JB, Hauser R, Pilsner JR, Krawetz SA. Phthalates impact on the epigenetic factors contributed specifically by the father at fertilization. Epigenetics Chromatin 2023; 16:3. [PMID: 36694265 PMCID: PMC9872317 DOI: 10.1186/s13072-022-00475-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 12/13/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Preconception exposure to phthalates such as the anti-androgenic dibutyl-phthalate (DBP) impacts both male and female reproduction, yet how this occurs largely remains unknown. Previously we defined a series of RNAs expressly provided by sperm at fertilization and separately, and in parallel, those that responded to high DBP exposure. Utilizing both populations of RNAs, we now begin to unravel the impact of high-DBP exposure on those RNAs specifically delivered by the father. RESULTS Enrichment of RNAs altered by DBP exposure within the Molecular Signature Database highlighted cellular stress, cell cycle, apoptosis, DNA damage response, and gene regulation pathways. Overlap within each of these five pathways identified those RNAs that were specifically (≥ fivefold enriched) or primarily (≥ twofold enriched) provided as part of the paternal contribution compared to the oocyte at fertilization. Key RNAs consistently altered by DBP, including CAMTA2 and PSME4, were delivered by sperm reflective of these pathways. The majority (64/103) of overlapping enriched gene sets were related to gene regulation. Many of these RNAs (45 RNAs) corresponded to key interconnected CRREWs (Chromatin remodeler cofactors, RNA interactors, Readers, Erasers, and Writers). Modeling suggests that CUL2, PHF10, and SMARCC1 may coordinate and mechanistically modulate the phthalate response. CONCLUSIONS Mediated through a CRREW regulatory network, the cell responded to exposure presenting stressed-induced changes in the cell cycle-DNA damage-apoptosis. Interestingly, the majority of these DBP-responsive epigenetic mediators' direct acetylation or deacetylation, impacting the sperm's cargo delivered at fertilization and that of the embryo.
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Affiliation(s)
- G M Swanson
- Department of Obstetrics & Gynecology, Wayne State University School of Medicine, 275 E. Hancock, Detroit, MI, 48201, USA
- Center for Molecular Medicine & Genetics, Wayne State University School of Medicine, 275 E. Hancock, Detroit, MI, 48201, USA
| | - F L Nassan
- Biogen, Cambridge, MA, USA
- Departments of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - J B Ford
- Departments of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - R Hauser
- Departments of Environmental Health and Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - J R Pilsner
- Department of Obstetrics & Gynecology, Wayne State University School of Medicine, 275 E. Hancock, Detroit, MI, 48201, USA
- Institute of Environmental Health Sciences, Wayne State University, Detroit, MI, USA
| | - S A Krawetz
- Department of Obstetrics & Gynecology, Wayne State University School of Medicine, 275 E. Hancock, Detroit, MI, 48201, USA.
- Center for Molecular Medicine & Genetics, Wayne State University School of Medicine, 275 E. Hancock, Detroit, MI, 48201, USA.
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33
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Dang Y, Zhu L, Yuan P, Liu Q, Guo Q, Chen X, Gao S, Liu X, Ji S, Yuan Y, Lian Y, Li R, Yan L, Wong CCL, Qiao J. Functional profiling of stage-specific proteome and translational transition across human pre-implantation embryo development at a single-cell resolution. Cell Discov 2023; 9:10. [PMID: 36693841 PMCID: PMC9873803 DOI: 10.1038/s41421-022-00491-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 11/03/2022] [Indexed: 01/25/2023] Open
Affiliation(s)
- Yujiao Dang
- grid.11135.370000 0001 2256 9319Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Precision Medicine Multi-Omics Research, Third Hospital, Peking University, Beijing, China ,grid.411642.40000 0004 0605 3760National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China ,grid.411642.40000 0004 0605 3760Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, China
| | - Liu Zhu
- grid.11135.370000 0001 2256 9319Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Precision Medicine Multi-Omics Research, Third Hospital, Peking University, Beijing, China
| | - Peng Yuan
- grid.11135.370000 0001 2256 9319Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Precision Medicine Multi-Omics Research, Third Hospital, Peking University, Beijing, China ,grid.411642.40000 0004 0605 3760National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China ,grid.411642.40000 0004 0605 3760Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, China
| | - Qiang Liu
- grid.11135.370000 0001 2256 9319Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Precision Medicine Multi-Omics Research, Third Hospital, Peking University, Beijing, China ,grid.411642.40000 0004 0605 3760National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China ,grid.411642.40000 0004 0605 3760Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, China
| | - Qianying Guo
- grid.11135.370000 0001 2256 9319Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Precision Medicine Multi-Omics Research, Third Hospital, Peking University, Beijing, China ,grid.411642.40000 0004 0605 3760National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China ,grid.411642.40000 0004 0605 3760Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, China
| | - Xi Chen
- grid.11135.370000 0001 2256 9319Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Precision Medicine Multi-Omics Research, Third Hospital, Peking University, Beijing, China ,grid.411642.40000 0004 0605 3760National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China ,grid.411642.40000 0004 0605 3760Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, China
| | - Shuaixin Gao
- grid.11135.370000 0001 2256 9319Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Precision Medicine Multi-Omics Research, Third Hospital, Peking University, Beijing, China
| | - Xiao Liu
- grid.11135.370000 0001 2256 9319Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Precision Medicine Multi-Omics Research, Third Hospital, Peking University, Beijing, China
| | - Shushen Ji
- grid.11135.370000 0001 2256 9319Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Precision Medicine Multi-Omics Research, Third Hospital, Peking University, Beijing, China
| | - Yifeng Yuan
- grid.11135.370000 0001 2256 9319Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Precision Medicine Multi-Omics Research, Third Hospital, Peking University, Beijing, China ,grid.411642.40000 0004 0605 3760National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
| | - Ying Lian
- grid.11135.370000 0001 2256 9319Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Precision Medicine Multi-Omics Research, Third Hospital, Peking University, Beijing, China ,grid.411642.40000 0004 0605 3760National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
| | - Rong Li
- grid.11135.370000 0001 2256 9319Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Precision Medicine Multi-Omics Research, Third Hospital, Peking University, Beijing, China ,grid.411642.40000 0004 0605 3760National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China ,grid.411642.40000 0004 0605 3760Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, China
| | - Liying Yan
- grid.11135.370000 0001 2256 9319Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Precision Medicine Multi-Omics Research, Third Hospital, Peking University, Beijing, China ,grid.411642.40000 0004 0605 3760National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China ,grid.411642.40000 0004 0605 3760Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, China ,Research Units of Comprehensive Diagnosis and Treatment of Oocyte Maturation Arrest, Beijing, China
| | - Catherine C. L. Wong
- grid.11135.370000 0001 2256 9319Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Precision Medicine Multi-Omics Research, Third Hospital, Peking University, Beijing, China ,grid.452723.50000 0004 7887 9190Peking-Tsinghua Center for Life Sciences, Beijing, China ,grid.413106.10000 0000 9889 6335Department of Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China
| | - Jie Qiao
- grid.11135.370000 0001 2256 9319Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Precision Medicine Multi-Omics Research, Third Hospital, Peking University, Beijing, China ,grid.411642.40000 0004 0605 3760National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China ,grid.411642.40000 0004 0605 3760Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, China ,Research Units of Comprehensive Diagnosis and Treatment of Oocyte Maturation Arrest, Beijing, China ,grid.452723.50000 0004 7887 9190Peking-Tsinghua Center for Life Sciences, Beijing, China
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Muehlbauer LK, Jen A, Zhu Y, He Y, Shishkova E, Overmyer KA, Coon JJ. Rapid Multi-Omics Sample Preparation for Mass Spectrometry. Anal Chem 2023; 95:659-667. [PMID: 36594155 PMCID: PMC10026941 DOI: 10.1021/acs.analchem.2c02042] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Multi-omics analysis is a powerful and increasingly utilized approach to gain insight into complex biological systems. One major hindrance with multi-omics, however, is the lengthy and wasteful sample preparation process. Preparing samples for mass spectrometry (MS)-based multi-omics involves extraction of metabolites and lipids with organic solvents, precipitation of proteins, and overnight digestion of proteins. These existing workflows are disparate and laborious. Here, we present a simple, efficient, and unified approach to prepare lipids, metabolites, and proteins for MS analysis. Our approach, termed the Bead-enabled Accelerated Monophasic Multi-omics (BAMM) method, combines an n-butanol-based monophasic extraction with unmodified magnetic beads and accelerated protein digestion. We demonstrate that the BAMM method affords comparable depth, quantitative reproducibility, and recovery of biomolecules as state-of-the-art multi-omics methods (e.g., Matyash extraction and overnight protein digestion). However, the BAMM method only requires about 3 h to perform, which saves 11 steps and 19 h on average compared to published multi-omics methods. Furthermore, we validate the BAMM method for multiple sample types and formats (biofluid, culture plate, and pellet) and show that in all cases, it produces high biomolecular coverage and data quality.
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Affiliation(s)
- Laura K. Muehlbauer
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Annie Jen
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Yunyun Zhu
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Yuchen He
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Evgenia Shishkova
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
- National Center for Quantitative Biology of Complex Systems, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Katherine A. Overmyer
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
- National Center for Quantitative Biology of Complex Systems, University of Wisconsin-Madison, Madison, WI 53706, USA
- Morgridge Institute for Research, Madison, WI 53715, USA
| | - Joshua J. Coon
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
- National Center for Quantitative Biology of Complex Systems, University of Wisconsin-Madison, Madison, WI 53706, USA
- Morgridge Institute for Research, Madison, WI 53715, USA
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35
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Paulino LRFM, de Assis EIT, Azevedo VAN, Silva BR, da Cunha EV, Silva JRV. Why Is It So Difficult To Have Competent Oocytes from In vitro Cultured Preantral Follicles? Reprod Sci 2022; 29:3321-3334. [PMID: 35084715 DOI: 10.1007/s43032-021-00840-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 12/28/2021] [Indexed: 12/14/2022]
Abstract
The developmental competence of oocytes is acquired gradually during follicular development, mainly through oocyte accumulation of RNA molecules and proteins that will be used during fertilization and early embryonic development. Several attempts to develop in vitro culture systems to support preantral follicle development up to maturation are reported in the literature, but oocyte competence has not yet been achieved in human and domestic animals. The difficulties to have fertilizable oocytes are related to thousands of mRNAs and proteins that need to be synthesized, long-term duration of follicular development, size of preovulatory follicles, composition of in vitro culture medium, and the need of multi-step culture systems. The development of a culture system that maintains bidirectional communication between the oocyte and granulosa cells and that meets the metabolic demands of each stage of follicle growth is the key to sustain an extended culture period. This review discusses the physiological and molecular mechanisms that determine acquisition of oocyte competence in vitro, like oocyte transcriptional activity, follicle and oocyte sizes, and length and regulation of follicular development in murine, human, and domestic animal species. The state of art of in vitro follicular development and the challenges to have complete follicular development in vitro are also highlighted.
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Affiliation(s)
- Laís R F M Paulino
- Laboratory of Biotechnology and Physiology of Reproduction (LABIREP), Federal University of Ceara, Av. Comandante Maurocélio Rocha Ponte 100, Sobral, CE, CEP 62041-040, Brazil
| | - Ernando I T de Assis
- Laboratory of Biotechnology and Physiology of Reproduction (LABIREP), Federal University of Ceara, Av. Comandante Maurocélio Rocha Ponte 100, Sobral, CE, CEP 62041-040, Brazil
| | - Venância A N Azevedo
- Laboratory of Biotechnology and Physiology of Reproduction (LABIREP), Federal University of Ceara, Av. Comandante Maurocélio Rocha Ponte 100, Sobral, CE, CEP 62041-040, Brazil
| | - Bianca R Silva
- Laboratory of Biotechnology and Physiology of Reproduction (LABIREP), Federal University of Ceara, Av. Comandante Maurocélio Rocha Ponte 100, Sobral, CE, CEP 62041-040, Brazil
| | - Ellen V da Cunha
- Laboratory of Biotechnology and Physiology of Reproduction (LABIREP), Federal University of Ceara, Av. Comandante Maurocélio Rocha Ponte 100, Sobral, CE, CEP 62041-040, Brazil
| | - José R V Silva
- Laboratory of Biotechnology and Physiology of Reproduction (LABIREP), Federal University of Ceara, Av. Comandante Maurocélio Rocha Ponte 100, Sobral, CE, CEP 62041-040, Brazil.
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36
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Patil N, Howe O, Cahill P, Byrne HJ. Monitoring and modelling the dynamics of the cellular glycolysis pathway: A review and future perspectives. Mol Metab 2022; 66:101635. [PMID: 36379354 PMCID: PMC9703637 DOI: 10.1016/j.molmet.2022.101635] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 10/28/2022] [Accepted: 11/06/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND The dynamics of the cellular glycolysis pathway underpin cellular function and dysfunction, and therefore ultimately health, disease, diagnostic and therapeutic strategies. Evolving our understanding of this fundamental process and its dynamics remains critical. SCOPE OF REVIEW This paper reviews the medical relevance of glycolytic pathway in depth and explores the current state of the art for monitoring and modelling the dynamics of the process. The future perspectives of label free, vibrational microspectroscopic techniques to overcome the limitations of the current approaches are considered. MAJOR CONCLUSIONS Vibrational microspectroscopic techniques can potentially operate in the niche area of limitations of other omics technologies for non-destructive, real-time, in vivo label-free monitoring of glycolysis dynamics at a cellular and subcellular level.
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Affiliation(s)
- Nitin Patil
- FOCAS Research Institute, Technological University Dublin, City Campus, Camden Row, Dublin 8, Ireland; School of Physics and Optometric & Clinical Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, Ireland.
| | - Orla Howe
- School of Biological and Health Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, Ireland
| | - Paul Cahill
- School of Biotechnology, Dublin City University, Glasnevin, Dublin 9, Ireland
| | - Hugh J Byrne
- FOCAS Research Institute, Technological University Dublin, City Campus, Camden Row, Dublin 8, Ireland
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37
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Danko K, Lukasheva E, Zhukov VA, Zgoda V, Frolov A. Detergent-Assisted Protein Digestion-On the Way to Avoid the Key Bottleneck of Shotgun Bottom-Up Proteomics. Int J Mol Sci 2022; 23:13903. [PMID: 36430380 PMCID: PMC9695859 DOI: 10.3390/ijms232213903] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/02/2022] [Accepted: 11/05/2022] [Indexed: 11/16/2022] Open
Abstract
Gel-free bottom-up shotgun proteomics is the principal methodological platform for the state-of-the-art proteome research. This methodology assumes quantitative isolation of the total protein fraction from a complex biological sample, its limited proteolysis with site-specific proteases, analysis of the resulted peptides with nanoscaled reversed-phase high-performance liquid chromatography-(tandem) mass spectrometry (nanoRP-HPLC-MS and MS/MS), protein identification by sequence database search and peptide-based quantitative analysis. The most critical steps of this workflow are protein reconstitution and digestion; therefore, detergents and chaotropic agents are strongly mandatory to ensure complete solubilization of complex protein isolates and to achieve accessibility of all protease cleavage sites. However, detergents are incompatible with both RP separation and electrospray ionization (ESI). Therefore, to make LC-MS analysis possible, several strategies were implemented in the shotgun proteomics workflow. These techniques rely either on enzymatic digestion in centrifugal filters with subsequent evacuation of the detergent, or employment of MS-compatible surfactants, which can be degraded upon the digestion. In this review we comprehensively address all currently available strategies for the detergent-assisted proteolysis in respect of their relative efficiency when applied to different biological matrices. We critically discuss the current progress and the further perspectives of these technologies in the context of its advances and gaps.
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Affiliation(s)
- Katerina Danko
- Department of Biochemistry, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Elena Lukasheva
- Department of Biochemistry, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Vladimir A. Zhukov
- All-Russia Research Institute for Agricultural Microbiology, Podbelsky Chaussee 3, Pushkin, 196608 St. Petersburg, Russia
| | - Viktor Zgoda
- Institute of Biomedical Chemistry, 119121 Moscow, Russia
| | - Andrej Frolov
- K.A. Timiryazev Institute of Plant Physiology RAS, 127276 Moscow, Russia
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38
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Cupp-Sutton KA, Fang M, Wu S. Separation methods in single-cell proteomics: RPLC or CE? INTERNATIONAL JOURNAL OF MASS SPECTROMETRY 2022; 481:116920. [PMID: 36211475 PMCID: PMC9542495 DOI: 10.1016/j.ijms.2022.116920] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Cellular heterogeneity is commonly investigated using single-cell genomics and transcriptomics to investigate biological questions such as disease mechanism, therapeutic screening, and genomic and transcriptomic diversity between cellular populations and subpopulations at the cellular level. Single-cell mass spectrometry (MS)-based proteomics enables the high-throughput examination of protein expression at the single-cell level with wide applicability, and with spatial and temporal resolution, applicable to the study of cellular development, disease, effect of treatment, etc. The study of single-cell proteomics has lagged behind genomics and transcriptomics largely because proteins from single-cell samples cannot be amplified as DNA and RNA can using well established techniques such as PCR. Therefore, analytical methods must be robust, reproducible, and sensitive enough to detect the very small amount of protein within a single cell. To this end, nearly every step of the proteomics process has been extensively altered and improved to facilitate the proteomics analysis of single cells including cell counting and sorting, lysis, protein digestion, sample cleanup, separation, MS data acquisition, and data analysis. Here, we have reviewed recent advances in single-cell protein separation using nano reversed phase liquid chromatography (nRPLC) and capillary electrophoresis (CE) to inform application driven selection of separation techniques in the laboratory setting.
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Affiliation(s)
| | - Mulin Fang
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK 73019
| | - Si Wu
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK 73019
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39
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Zou Z, Zhang C, Wang Q, Hou Z, Xiong Z, Kong F, Wang Q, Song J, Liu B, Liu B, Wang L, Lai F, Fan Q, Tao W, Zhao S, Ma X, Li M, Wu K, Zhao H, Chen ZJ, Xie W. Translatome and transcriptome co-profiling reveals a role of TPRXs in human zygotic genome activation. Science 2022; 378:abo7923. [PMID: 36074823 DOI: 10.1126/science.abo7923] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Translational regulation plays a critical role during the oocyte-to-embryo transition (OET) and zygotic genome activation (ZGA). Here, we integrated ultra-low-input Ribo-seq with mRNA-seq to co-profile the translatome and transcriptome in human oocytes and early embryos. Comparison with mouse counterparts identified widespread differentially translated genes functioning in epigenetic reprogramming, transposon defense, and small RNA biogenesis, in part driven by species-specific regulatory elements in 3' untranslated regions. Moreover, PRD-like homeobox transcription factors, including TPRXL, TPRX1, and TPRX2, are highly translated around ZGA. TPRX1/2/L knockdown leads to defective ZGA and preimplantation development. Ectopically expressed TPRXs bind and activate key ZGA genes in human embryonic stem cells. These data reveal the conservation and divergence of translation landscapes during OET and identify critical regulators of human ZGA.
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Affiliation(s)
- Zhuoning Zou
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.,Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China.,Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Chuanxin Zhang
- Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China.,Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong 250012, China
| | - Qiuyan Wang
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.,Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Zhenzhen Hou
- Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China.,Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong 250012, China
| | - Zhuqing Xiong
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.,Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Feng Kong
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.,Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Qiujun Wang
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.,Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jinzhu Song
- Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China.,Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong 250012, China
| | - Boyang Liu
- Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China.,Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong 250012, China
| | - Bofeng Liu
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.,Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Lijuan Wang
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.,Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Fangnong Lai
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.,Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Qiang Fan
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.,Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Wenrong Tao
- Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China.,Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong 250012, China
| | - Shuai Zhao
- Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China.,Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong 250012, China
| | - Xiaonan Ma
- Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China.,Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong 250012, China
| | - Miao Li
- Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China.,Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong 250012, China
| | - Keliang Wu
- Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China.,Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong 250012, China
| | - Han Zhao
- Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China.,Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong 250012, China.,Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences, China
| | - Zi-Jiang Chen
- Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China.,Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong 250012, China.,Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences, China.,Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai 200135, China.,Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200135, China
| | - Wei Xie
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.,Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
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40
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Hu W, Zeng H, Shi Y, Zhou C, Huang J, Jia L, Xu S, Feng X, Zeng Y, Xiong T, Huang W, Sun P, Chang Y, Li T, Fang C, Wu K, Cai L, Ni W, Li Y, Yang Z, Zhang QC, Chian R, Chen Z, Liang X, Kee K. Single-cell transcriptome and translatome dual-omics reveals potential mechanisms of human oocyte maturation. Nat Commun 2022; 13:5114. [PMID: 36042231 PMCID: PMC9427852 DOI: 10.1038/s41467-022-32791-2] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 08/17/2022] [Indexed: 12/20/2022] Open
Abstract
The combined use of transcriptome and translatome as indicators of gene expression profiles is usually more accurate than the use of transcriptomes alone, especially in cell types governed by translational regulation, such as mammalian oocytes. Here, we developed a dual-omics methodology that includes both transcriptome and translatome sequencing (T&T-seq) of single-cell oocyte samples, and we used it to characterize the transcriptomes and translatomes during mouse and human oocyte maturation. T&T-seq analysis revealed distinct translational expression patterns between mouse and human oocytes and delineated a sequential gene expression regulation from the cytoplasm to the nucleus during human oocyte maturation. By these means, we also identified a functional role of OOSP2 inducing factor in human oocyte maturation, as human recombinant OOSP2 induced in vitro maturation of human oocytes, which was blocked by anti-OOSP2. Single-oocyte T&T-seq analyses further elucidated that OOSP2 induces specific signaling pathways, including small GTPases, through translational regulation. Development of methods for simultaneous single cell analysis of transcription and translation is still underway. Here, Hu et al. develop single-cell transcriptome and translatome dual-omics on human oocytes, which enables them to identify OOSP2 as an induction factor during human oocyte maturation.
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Affiliation(s)
- Wenqi Hu
- Center for Stem Cell Biology and Regenerative Medicine, Department of Basic Medical Sciences, School of Medicine, Tsinghua University, 100084, Beijing, China
| | - Haitao Zeng
- Reproductive Medicine Research Center, The Sixth Affiliated Hospital of Sun Yat-sen University, 510655, Guangzhou, China
| | - Yanan Shi
- Reproductive Medicine Research Center, The Sixth Affiliated Hospital of Sun Yat-sen University, 510655, Guangzhou, China
| | - Chuanchuan Zhou
- Reproductive Medicine Research Center, The Sixth Affiliated Hospital of Sun Yat-sen University, 510655, Guangzhou, China
| | - Jiana Huang
- Reproductive Medicine Research Center, The Sixth Affiliated Hospital of Sun Yat-sen University, 510655, Guangzhou, China
| | - Lei Jia
- Reproductive Medicine Research Center, The Sixth Affiliated Hospital of Sun Yat-sen University, 510655, Guangzhou, China
| | - Siqi Xu
- Center for Stem Cell Biology and Regenerative Medicine, Department of Basic Medical Sciences, School of Medicine, Tsinghua University, 100084, Beijing, China
| | - Xiaoyu Feng
- Center for Stem Cell Biology and Regenerative Medicine, Department of Basic Medical Sciences, School of Medicine, Tsinghua University, 100084, Beijing, China
| | - Yanyan Zeng
- Reproductive Medicine Research Center, The Sixth Affiliated Hospital of Sun Yat-sen University, 510655, Guangzhou, China
| | - Tuanlin Xiong
- MOE Key Laboratory of Bioinformatics, Beijing Advanced Innovation Center for Structural Biology and Frontier Research Center for Biological Structure, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, 100084, Beijing, China
| | - Wenze Huang
- MOE Key Laboratory of Bioinformatics, Beijing Advanced Innovation Center for Structural Biology and Frontier Research Center for Biological Structure, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, 100084, Beijing, China
| | - Peng Sun
- Reproductive Medicine Research Center, The Sixth Affiliated Hospital of Sun Yat-sen University, 510655, Guangzhou, China
| | - Yajie Chang
- Reproductive Medicine Research Center, The Sixth Affiliated Hospital of Sun Yat-sen University, 510655, Guangzhou, China
| | - Tingting Li
- Reproductive Medicine Research Center, The Sixth Affiliated Hospital of Sun Yat-sen University, 510655, Guangzhou, China
| | - Cong Fang
- Reproductive Medicine Research Center, The Sixth Affiliated Hospital of Sun Yat-sen University, 510655, Guangzhou, China
| | - Keliang Wu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, 250012, Jinan, Shandong, China
| | - Lingbo Cai
- State Key Laboratory of Reproductive Medicine, Center of Clinical Reproductive Medicine, First Affiliated Hospital, Nanjing Medical University, 210029, Nanjing, China
| | - Wuhua Ni
- Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou, Zhejiang Province, China
| | - Yan Li
- Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou, Zhejiang Province, China
| | - Zhiyong Yang
- Center for Reproductive Medicine, Shanghai Tenth People's Hospital of Tongji University, 200072, Shanghai, China
| | - Qiangfeng Cliff Zhang
- MOE Key Laboratory of Bioinformatics, Beijing Advanced Innovation Center for Structural Biology and Frontier Research Center for Biological Structure, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, 100084, Beijing, China
| | - RiCheng Chian
- Center for Reproductive Medicine, Shanghai Tenth People's Hospital of Tongji University, 200072, Shanghai, China
| | - Zijiang Chen
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, 250012, Jinan, Shandong, China
| | - Xiaoyan Liang
- Reproductive Medicine Research Center, The Sixth Affiliated Hospital of Sun Yat-sen University, 510655, Guangzhou, China.
| | - Kehkooi Kee
- Center for Stem Cell Biology and Regenerative Medicine, Department of Basic Medical Sciences, School of Medicine, Tsinghua University, 100084, Beijing, China.
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41
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Beck L, Geiger T. MS-based technologies for untargeted single-cell proteomics. Curr Opin Biotechnol 2022; 76:102736. [DOI: 10.1016/j.copbio.2022.102736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 03/19/2022] [Accepted: 04/24/2022] [Indexed: 11/28/2022]
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Dietary Supplementation of Flaxseed ( Linum usitatissimum L.) Alters Ovarian Functions of Xylene-Exposed Mice. LIFE (BASEL, SWITZERLAND) 2022; 12:life12081152. [PMID: 36013331 PMCID: PMC9410228 DOI: 10.3390/life12081152] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 07/24/2022] [Accepted: 07/27/2022] [Indexed: 11/17/2022]
Abstract
The aim of the performed study was to examine the ability of xylene, flaxseed, and their combinations to affect morphological and endocrine indexes of murine ovaries. The 72 indexes of secondary and tertiary follicular cells, oocytes, corpora lutea, and ovarian stroma have been quantified: diameter, markers of proliferation PCNA and apoptosis caspase 3, receptors to FSH, oxytocin, estrogen (alpha and beta), and progesterone. In addition, concentrations of the ovarian hormones progesterone, estradiol, and IGF-I in the blood, as well as their production by isolated ovaries cultured with and without gonadotropins (FSH + LH mixture), were determined using histological, immunohistochemical, and immunoassay analyses. The character of xylene and flaxseed effects on ovarian functions in mice depended on the stage of ovarian folliculogenesis. It was shown that flaxseed could mitigate and prevent the major (63%) effects of xylene on the ovary. In addition, the ability of gonadotropins to affect ovarian hormone release and prevent its response to xylene has been shown. The effects of these additives could be mediated by changes in the release and reception of hormones. These observations suggest that flaxseed and possibly gonadotropins could be natural protectors of a female reproductive system against the adverse effects of xylene.
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Chen C, Gao Y, Liu W, Gao S. Epigenetic regulation of cell fate transition: learning from early embryo development and somatic cell reprogramming†. Biol Reprod 2022; 107:183-195. [PMID: 35526125 PMCID: PMC9310515 DOI: 10.1093/biolre/ioac087] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 03/29/2022] [Accepted: 04/25/2022] [Indexed: 11/12/2022] Open
Abstract
Epigenetic regulations play a central role in governing the embryo development and somatic cell reprogramming. Taking advantage of recent advances in low-input sequencing techniques, researchers have uncovered a comprehensive view of the epigenetic landscape during rapid transcriptome transitions involved in the cell fate commitment. The well-organized epigenetic reprogramming also highlights the essential roles of specific epigenetic regulators to support efficient regulation of transcription activity and chromatin remodeling. This review briefly introduces the recent progress in the molecular dynamics and regulation mechanisms implicated in mouse early embryo development and somatic cell reprograming, as well as the multi-omics regulatory mechanisms of totipotency mediated by several key factors, which provide valuable resources for further investigations on the complicated regulatory network in essential biological events.
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Affiliation(s)
- Chuan Chen
- Institute for Regenerative Medicine, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Yawei Gao
- Institute for Regenerative Medicine, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Wenqiang Liu
- Clinical and Translation Research Center of Shanghai First Maternity & Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Shaorong Gao
- Institute for Regenerative Medicine, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
- Clinical and Translation Research Center of Shanghai First Maternity & Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
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Guo Y, Cai L, Liu X, Ma L, Zhang H, Wang B, Qi Y, Liu J, Diao F, Sha J, Guo X. Single-cell quantitative proteomic analysis of human oocyte maturation revealed high heterogeneity in in vitro matured oocytes. Mol Cell Proteomics 2022; 21:100267. [PMID: 35809850 PMCID: PMC9396076 DOI: 10.1016/j.mcpro.2022.100267] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 06/29/2022] [Accepted: 07/02/2022] [Indexed: 12/02/2022] Open
Abstract
Oocyte maturation is pertinent to the success of in vitro maturation (IVM), which is used to overcome female infertility, and produced over 5000 live births worldwide. However, the quality of human IVM oocytes has not been investigated at single-cell proteome level. Here, we quantified 2094 proteins in human oocytes during in vitro and in vivo maturation (IVO) by single-cell proteomic analysis and identified 176 differential proteins between IVO and germinal vesicle oocytes and 45 between IVM and IVO oocytes including maternal effect proteins, with potential contribution to the clinically observed decreased fertilization, implantation, and birth rates using human IVM oocytes. IVM and IVO oocytes showed separate clusters in principal component analysis, with higher inter-cell variability among IVM oocytes, and have little correlation between mRNA and protein changes during maturation. The patients with the most aberrantly expressed proteins in IVM oocytes had the lowest level of estradiol per mature follicle on trigger day. Our data provide a rich resource to evaluate effect of IVM on oocyte quality and study mechanism of oocyte maturation. Single-cell proteomic profiling of human oocytes matured in vitro and in vivo. Low correlation between protein and mRNA levels during human oocyte maturation. In vitro matured (IVM) oocytes exhibit higher heterogeneity at the proteome level. 45 differentially expressed proteins between IVM and in vivo matured (IVO) oocytes.
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Affiliation(s)
- Yueshuai Guo
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, Nanjing 210029, China
| | - Lingbo Cai
- State Key Laboratory of Reproductive Medicine, Clinical Center for Reproductive Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Xiaofei Liu
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, Nanjing 210029, China
| | - Long Ma
- State Key Laboratory of Reproductive Medicine, Clinical Center for Reproductive Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Hao Zhang
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, Nanjing 210029, China
| | - Bing Wang
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, Nanjing 210029, China; School of Medicine, Southeast University, Nanjing 210009, China
| | - Yaling Qi
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, Nanjing 210029, China
| | - Jiayin Liu
- State Key Laboratory of Reproductive Medicine, Clinical Center for Reproductive Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Feiyang Diao
- State Key Laboratory of Reproductive Medicine, Clinical Center for Reproductive Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
| | - Jiahao Sha
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, Nanjing 210029, China.
| | - Xuejiang Guo
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, Nanjing 210029, China.
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Arias-Hidalgo C, Juanes-Velasco P, Landeira-Viñuela A, García-Vaquero ML, Montalvillo E, Góngora R, Hernández ÁP, Fuentes M. Single-Cell Proteomics: The Critical Role of Nanotechnology. Int J Mol Sci 2022; 23:6707. [PMID: 35743151 PMCID: PMC9224324 DOI: 10.3390/ijms23126707] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 06/13/2022] [Accepted: 06/14/2022] [Indexed: 11/24/2022] Open
Abstract
In single-cell analysis, biological variability can be attributed to individual cells, their specific state, and the ability to respond to external stimuli, which are determined by protein abundance and their relative alterations. Mass spectrometry (MS)-based proteomics (e.g., SCoPE-MS and SCoPE2) can be used as a non-targeted method to detect molecules across hundreds of individual cells. To achieve high-throughput investigation, novel approaches in Single-Cell Proteomics (SCP) are needed to identify and quantify proteins as accurately as possible. Controlling sample preparation prior to LC-MS analysis is critical, as it influences sensitivity, robustness, and reproducibility. Several nanotechnological approaches have been developed for the removal of cellular debris, salts, and detergents, and to facilitate systematic sample processing at the nano- and microfluidic scale. In addition, nanotechnology has enabled high-throughput proteomics analysis, which have required the improvement of software tools, such as DART-ID or DO-MS, which are also fundamental for addressing key biological questions. Single-cell proteomics has many applications in nanomedicine and biomedical research, including advanced cancer immunotherapies or biomarker characterization, among others; and novel methods allow the quantification of more than a thousand proteins while analyzing hundreds of single cells.
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Affiliation(s)
- Carlota Arias-Hidalgo
- Department of Medicine and General Cytometry Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain; (C.A.-H.); (P.J.-V.); (A.L.-V.); (M.L.G.-V.); (E.M.); (R.G.)
| | - Pablo Juanes-Velasco
- Department of Medicine and General Cytometry Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain; (C.A.-H.); (P.J.-V.); (A.L.-V.); (M.L.G.-V.); (E.M.); (R.G.)
| | - Alicia Landeira-Viñuela
- Department of Medicine and General Cytometry Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain; (C.A.-H.); (P.J.-V.); (A.L.-V.); (M.L.G.-V.); (E.M.); (R.G.)
| | - Marina L. García-Vaquero
- Department of Medicine and General Cytometry Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain; (C.A.-H.); (P.J.-V.); (A.L.-V.); (M.L.G.-V.); (E.M.); (R.G.)
| | - Enrique Montalvillo
- Department of Medicine and General Cytometry Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain; (C.A.-H.); (P.J.-V.); (A.L.-V.); (M.L.G.-V.); (E.M.); (R.G.)
| | - Rafael Góngora
- Department of Medicine and General Cytometry Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain; (C.A.-H.); (P.J.-V.); (A.L.-V.); (M.L.G.-V.); (E.M.); (R.G.)
| | - Ángela-Patricia Hernández
- Department of Medicine and General Cytometry Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain; (C.A.-H.); (P.J.-V.); (A.L.-V.); (M.L.G.-V.); (E.M.); (R.G.)
- Department of Pharmaceutical Sciences: Organic Chemistry, Faculty of Pharmacy, University of Salamanca, CIETUS, IBSAL, 37007 Salamanca, Spain
| | - Manuel Fuentes
- Department of Medicine and General Cytometry Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain; (C.A.-H.); (P.J.-V.); (A.L.-V.); (M.L.G.-V.); (E.M.); (R.G.)
- Proteomics Unit, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain
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Kanaka V, Proikakis S, Drakakis P, Loutradis D, Tsangaris GT. Implementing a preimplantation proteomic approach to advance assisted reproduction technologies in the framework of predictive, preventive, and personalized medicine. EPMA J 2022; 13:237-260. [PMID: 35719135 PMCID: PMC9203609 DOI: 10.1007/s13167-022-00282-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 05/05/2022] [Indexed: 10/28/2022]
Abstract
The evolution of the field of assisted reproduction technology (ART) in the last 40 years has significantly contributed to the management of global infertility. Despite the great numbers of live births that have been achieved through ART, there is still potential for increasing the success rates. As a result, there is a need to create optimum conditions in order to increase ART efficacy. The selection of the best sperm, oocyte, and embryo, as well as the achievement of optimal endometrial receptivity, through the contribution of new diagnostic and treatment methods, based on a personalized proteomic approach, may assist in the attainment of this goal. Proteomics represent a powerful new technological development, which seeks for protein biomarkers in human tissues. These biomarkers may aid to predict the outcome, prevent failure, and monitor in a personalized manner in vitro fertilization (IVF) cycles. In this review, we will present data from studies that have been conducted in the search for such biomarkers in order to identify proteins related to good sperm, oocyte, and embryo quality, as well as optimal endometrial receptivity, which may later lead to greater results and the desirable ART outcome.
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Affiliation(s)
- Vasiliki Kanaka
- First Department of Obstetrics and Gynecology, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, Athens, Greece
- Proteomics Research Unit, Biomedical Research Foundation, Academy of Athens, Athens, Greece
| | - Stavros Proikakis
- Proteomics Research Unit, Biomedical Research Foundation, Academy of Athens, Athens, Greece
| | - Petros Drakakis
- Third Department of Obstetrics and Gynecology, School of Medicine, National and Kapodistrian University of Athens, Attikon Hospital, Athens, Greece
| | - Dimitrios Loutradis
- First Department of Obstetrics and Gynecology, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, Athens, Greece
| | - George Th. Tsangaris
- Proteomics Research Unit, Biomedical Research Foundation, Academy of Athens, Athens, Greece
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Ultrasensitive Ribo-seq reveals translational landscapes during mammalian oocyte-to-embryo transition and pre-implantation development. Nat Cell Biol 2022; 24:968-980. [PMID: 35697785 DOI: 10.1038/s41556-022-00928-6] [Citation(s) in RCA: 57] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 04/27/2022] [Indexed: 12/12/2022]
Abstract
In mammals, translational control plays critical roles during oocyte-to-embryo transition (OET) when transcription ceases. However, the underlying regulatory mechanisms remain challenging to study. Here, using low-input Ribo-seq (Ribo-lite), we investigated translational landscapes during OET using 30-150 mouse oocytes or embryos per stage. Ribo-lite can also accommodate single oocytes. Combining PAIso-seq to interrogate poly(A) tail lengths, we found a global switch of translatome that closely parallels changes of poly(A) tails upon meiotic resumption. Translation activation correlates with polyadenylation and is supported by polyadenylation signal proximal cytoplasmic polyadenylation elements (papCPEs) in 3' untranslated regions. By contrast, translation repression parallels global de-adenylation. The latter includes transcripts containing no CPEs or non-papCPEs, which encode many transcription regulators that are preferentially re-activated before zygotic genome activation. CCR4-NOT, the major de-adenylation complex, and its key adaptor protein BTG4 regulate translation downregulation often independent of RNA decay. BTG4 is not essential for global de-adenylation but is required for selective gene de-adenylation and production of very short-tailed transcripts. In sum, our data reveal intimate interplays among translation, RNA stability and poly(A) tail length regulation underlying mammalian OET.
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48
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Applications of Tandem Mass Spectrometry (MS/MS) in Protein Analysis for Biomedical Research. Molecules 2022; 27:molecules27082411. [PMID: 35458608 PMCID: PMC9031286 DOI: 10.3390/molecules27082411] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 04/05/2022] [Accepted: 04/06/2022] [Indexed: 01/27/2023] Open
Abstract
Mass Spectrometry (MS) allows the analysis of proteins and peptides through a variety of methods, such as Electrospray Ionization-Mass Spectrometry (ESI-MS) or Matrix-Assisted Laser Desorption Ionization-Mass Spectrometry (MALDI-MS). These methods allow identification of the mass of a protein or a peptide as intact molecules or the identification of a protein through peptide-mass fingerprinting generated upon enzymatic digestion. Tandem mass spectrometry (MS/MS) allows the fragmentation of proteins and peptides to determine the amino acid sequence of proteins (top-down and middle-down proteomics) and peptides (bottom-up proteomics). Furthermore, tandem mass spectrometry also allows the identification of post-translational modifications (PTMs) of proteins and peptides. Here, we discuss the application of MS/MS in biomedical research, indicating specific examples for the identification of proteins or peptides and their PTMs as relevant biomarkers for diagnostic and therapy.
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49
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Milani L, Cinelli F, Iannello M, Lazzari M, Franceschini V, Maurizii MG. Immunolocalization of Vasa, PIWI, and TDRKH proteins in male germ cells during spermatogenesis of the teleost fish Poecilia reticulata. Acta Histochem 2022; 124:151870. [PMID: 35218995 DOI: 10.1016/j.acthis.2022.151870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 02/12/2022] [Accepted: 02/14/2022] [Indexed: 11/17/2022]
Abstract
Vasa, PIWI and TDRKH are conserved components of germ granules that in metazoans are involved in germline specification and differentiation, as documented by mutational experiments in some model animals. So far, investigations on PIWI during spermatogenesis of fish has been limited to a few species, and no information is available for TDRKH, another protein involved in the piRNA pathway. In this study, the immunolocalization of these three germline determinants was analyzed in male gonads of the teleost fish Poecilia reticulata to document their localization pattern in the different stages of germ cell differentiation. To analyze their distribution pattern during the different stages of spermatogenesis we performed immunohistochemistry (IHC) and immunofluorescence (IF) assays using primary polyclonal antibodies after testing their specificity with Western Blot. Moreover, sections of testis stained with haematoxylin and eosin clarified the structural organization of P. reticulata testis, while the use of the confocal microscope and the nuclear staining clarified the different stages of germ cell differentiation during spermatogenesis. The results showed that Vasa, PIWI and TDRKH were specifically immunolocalized in the germ cells of P. reticulata, with no specific signal detected in Sertoli cells and in other somatic cells of the gonad. These markers were detected in all stages of differentiation from early spermatogonia to advanced spermatids. Vasa staining was the strongest in spermatogonia, and then decreases throughout differentiation. Instead, both PIWI and TDRKH staining increases during differentiation, and their distribution pattern, similar to what observed in the mouse, suggests their concerted participation in the piRNA pathway also in this fish.
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Affiliation(s)
- L Milani
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy.
| | - F Cinelli
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - M Iannello
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - M Lazzari
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - V Franceschini
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - M G Maurizii
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy.
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50
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Proteomic Alterations in Follicular Fluid of Human Small Antral Follicles Collected from Polycystic Ovaries—A Pilot Study. Life (Basel) 2022; 12:life12030391. [PMID: 35330141 PMCID: PMC8954146 DOI: 10.3390/life12030391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 03/03/2022] [Accepted: 03/05/2022] [Indexed: 11/25/2022] Open
Abstract
Polycystic ovaries (PCO) contain antral follicles that arrest growing around 3–11 mm in diameter, perturbing the dominant follicle’s selection and the subsequent ovulatory process. Proteomic alterations of PCO follicular fluid (FF) (i.e., microenvironment in which the oocyte develops until ovulation) have been studied from large follicles in connection with oocyte pickup during ovarian stimulation. The present study aimed to detect proteomic alterations in FF from unstimulated human small antral follicles (hSAF) obtained from PCO. After performing deep-sequencing label-free proteomics on 10 PCO and 10 non-PCO FF samples from unstimulated hSAF (4.6–9.8 mm), 1436 proteins were identified, of which 115 were dysregulated in PCO FF samples. Pathways and processes related to the immune system, inflammation, and oxidative stress appeared to be upregulated in PCO, while extracellular matrix receptors interactions, the collagens-containing extracellular matrix, and the regulation of signaling were downregulated. The secreted proteins SFRP1, THBS4, and C1QC significantly decreased their expression in PCO FF, and this downregulation was suggested to affect future oocyte competence. In conclusion, our study revealed, for the first time, evidence of proteomic alterations occurring in the FF of PCO hSAF that may be related to the dysfunction of follicular growth and subsequent oocyte competence.
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